Top 12 CFD Engineer Skills to Put on Your Resume

In today's competitive job market, standing out as a Computational Fluid Dynamics (CFD) Engineer requires more than just a solid educational background. Highlighting a robust set of specific skills on your resume can significantly enhance your appeal to potential employers, showcasing your ability to tackle complex fluid dynamics problems with expertise and innovation.

CFD Engineer Skills

1. ANSYS Fluent
2. OpenFOAM
3. MATLAB
4. Python
5. SolidWorks
6. C++
7. Mesh Generation
8. STAR-CCM+
9. AutoCAD
10. ParaView
11. Tecplot
12. Linux

1. ANSYS Fluent

ANSYS Fluent is a computational fluid dynamics (CFD) software tool that enables CFD engineers to simulate fluid flow, heat and mass transfer, chemical reactions, and other related physical phenomena within complex geometries.

Why It's Important

ANSYS Fluent is important for a CFD Engineer because it provides advanced capabilities for modeling fluid dynamics accurately and efficiently, enabling detailed simulation, analysis, and optimization of fluid flow, heat transfer, and chemical reactions across a wide range of applications.

How to Improve ANSYS Fluent Skills

Improving your skills in ANSYS Fluent, a computational fluid dynamics (CFD) software, involves a combination of theoretical understanding, practical experience, and continuous learning. Here’s a concise guide:

1. Strengthen Fundamentals: Ensure a solid grasp of fluid dynamics and thermodynamics principles. Online courses on platforms like Coursera or edX can be a good start.

2. Official ANSYS Resources: Utilize the ANSYS Learning Hub for tutorials, webinars, and training materials directly from the developers.

3. Practice Regularly: Hands-on experience is crucial. Work on diverse projects to understand various features and functionalities. Start with simple simulations and gradually move to complex ones.

4. Join Forums and Communities: Engage with other CFD engineers on platforms like CFD Online for discussions, tips, and advice.

5. Stay Updated: The field of CFD is always evolving. Follow relevant journals, attend conferences, and participate in webinars to stay current on the latest trends and technologies.

6. Learn from Tutorials and Case Studies: Explore detailed tutorials and case studies available on YouTube or specialized blogs that often provide step-by-step instructions for various types of simulations.

7. Optimization and Automation Skills: Learn to use scripting (e.g., using ANSYS Fluent's journal files) to automate repetitive tasks and optimize your workflows, enhancing efficiency and accuracy.

8. Understand Meshing Techniques: Good meshing is critical for accurate results. Deepen your knowledge in mesh generation and optimization techniques. The Pointwise Blog offers insights into advanced meshing strategies.

9. Post-processing Skills: Improve your ability to interpret and present simulation results effectively. This includes mastering ANSYS Fluent’s post-processing tools and learning how to visualize data compellingly.

10. Certification: Consider obtaining ANSYS certification to validate your skills officially and boost your professional profile. Check the ANSYS Certification Program for more details.

By focusing on these areas, you can significantly enhance your proficiency in ANSYS Fluent, leading to more accurate simulations and efficient problem-solving in your CFD projects.

How to Display ANSYS Fluent Skills on Your Resume

2. OpenFOAM

OpenFOAM is an open-source Computational Fluid Dynamics (CFD) toolkit designed for the modeling of fluid flow and heat transfer processes, offering extensive solvers and utilities for both standard and complex CFD problems.

Why It's Important

OpenFOAM is important for a CFD Engineer because it offers a comprehensive, open-source computational fluid dynamics toolkit, enabling customizable simulation capabilities without licensing fees, fostering innovation and collaboration in fluid dynamics research and applications.

How to Improve OpenFOAM Skills

Improving your OpenFOAM capabilities as a CFD Engineer involves a combination of enhancing your understanding of the software's core functionalities, contributing to its development, and staying updated with the latest features and community projects. Here's a concise guide:

1. Master the Fundamentals: Deepen your understanding of OpenFOAM's basic concepts, solvers, and utilities. The Official OpenFOAM Documentation is an excellent starting point.

2. Learn from Community Projects: Engage with projects on platforms like CFD Direct and OpenFOAM Wiki to see practical applications and advancements.

3. Customize and Develop: Learn to develop custom solvers or utilities. The Programming in OpenFOAM series by Jelena Andric is a valuable resource.

4. Stay Updated: Follow the OpenFOAM Foundation for the latest releases, features, and patches.

5. Participate in Forums and Conferences: Engage with the community through forums like CFD Online and attend conferences to share knowledge and learn from others.

6. Contribute to OpenFOAM: Whether through developing new features, fixing bugs, or improving documentation, contributing back to the OpenFOAM GitHub Repository can also enhance your understanding and skills.

By focusing on these areas, you can significantly improve your proficiency and contributions to your projects using OpenFOAM.

How to Display OpenFOAM Skills on Your Resume

3. MATLAB

MATLAB is a high-level programming and numerical computing environment used by CFD engineers for algorithm development, data analysis, visualization, and numerical simulation of fluid dynamics models.

Why It's Important

MATLAB is important for a CFD Engineer because it provides powerful tools for numerical simulation, data analysis, and visualization, enabling efficient solving of complex fluid dynamics problems and optimization of fluid flow processes.

How to Improve MATLAB Skills

Improving MATLAB skills, especially for a Computational Fluid Dynamics (CFD) Engineer, involves a blend of learning advanced MATLAB functionalities, programming best practices, and domain-specific applications. Here's a concise guide:

1. Master Advanced MATLAB Features: Dive into advanced topics like parallel computing, advanced data visualization, and optimization tools. MATLAB's official documentation is an invaluable resource.

2. Optimize Code for Performance: Learn to profile and optimize your MATLAB code for speed and efficiency. Utilize vectorization, preallocation, and other techniques for performance improvement. MATLAB's code optimization guide offers detailed insights.

3. Harness CFD-Specific Toolboxes: Utilize MATLAB toolboxes relevant to CFD, such as the Partial Differential Equation Toolbox™ for modeling fluid flow dynamics. Explore the toolbox here.

4. Integrate with Other CFD Tools: Learn to integrate MATLAB with specialized CFD software (e.g., ANSYS Fluent, OpenFOAM) for extended functionalities. This often involves using MATLAB's interfacing and data import/export capabilities. MATLAB's external interfaces guide provides a foundation.

5. Stay Updated and Collaborate: MATLAB continually evolves, so staying updated with the latest features and best practices is crucial. Join MATLAB communities and forums, such as MATLAB Central, to exchange knowledge and collaborate on CFD projects.

6. Continuous Learning: Engage with online courses and tutorials specific to MATLAB for CFD. Websites like Coursera, Udemy, and MATLAB's own training courses offer specialized programs.

By focusing on these areas, a CFD Engineer can significantly enhance their MATLAB proficiency, leading to more efficient and innovative solutions in fluid dynamics simulations and analyses.

How to Display MATLAB Skills on Your Resume

4. Python

Python is a high-level, versatile programming language favored for its readability and extensive libraries, essential for computational fluid dynamics (CFD) simulations, data analysis, and automating repetitive tasks.

Why It's Important

Python is important for a CFD (Computational Fluid Dynamics) Engineer because it offers powerful libraries for numerical simulations, data analysis, and visualization, streamlining the process of solving complex fluid flow problems efficiently.

How to Improve Python Skills

Improving your Python skills as a CFD (Computational Fluid Dynamics) Engineer involves focusing on areas that enhance your efficiency in simulation, data analysis, and automation. Here's a concise guide to upskill:

1. Master NumPy and SciPy for efficient numerical computations. Focus on vectorization and using built-in functions for speed. NumPy | SciPy

2. Learn Pandas for data manipulation and analysis, crucial for handling simulation results. Pandas

3. Get proficient in Matplotlib and Plotly for visualizing data and results, essential for analysis and reporting. Matplotlib | Plotly

4. Understand parallel computing with libraries like multiprocessing or joblib to speed up simulations and data processing. Multiprocessing | Joblib

5. Use Jupyter Notebooks for interactive computing and sharing of results with peers. Jupyter

6. Develop proficiency in a CFD-specific library like PyFoam (for OpenFOAM automation) or FiPy for direct problem-solving in Python. PyFoam | FiPy

7. Practice version control with Git to manage code changes and collaborate on projects. Git

8. Engage with the community through forums like Stack Overflow, Reddit’s r/Python, or join CFD and Python-specific groups on LinkedIn for tips, tricks, and networking.

By focusing on these areas, you can significantly improve your Python skills, leading to more efficient and effective CFD simulations and analyses.

How to Display Python Skills on Your Resume

5. SolidWorks

SolidWorks is a computer-aided design (CAD) and engineering software widely used for product design, simulation, and manufacturing planning, offering specific tools for Computational Fluid Dynamics (CFD) analysis to engineers.

Why It's Important

SolidWorks is important for a CFD Engineer because it enables the precise creation of complex 3D geometries for fluid flow and thermal simulations, facilitating accurate analysis and optimization of designs for performance and efficiency.

How to Improve SolidWorks Skills

Improving your SolidWorks skills, especially for a CFD Engineer, involves focusing on modeling efficiency, accuracy, and integration with CFD analysis tools. Here are concise tips and resources:

1. Master Parametric Modeling: Understanding how to efficiently create and modify your models with parameters can significantly streamline your workflow. SolidWorks Parametric Modeling

2. Utilize SolidWorks Simulation: Familiarize yourself with SolidWorks Simulation for pre-CFD analysis to ensure your model is suitable for further analysis. SolidWorks Simulation

3. Optimize Your Geometry for CFD: Simplify models to reduce complexity without compromising on the necessary details for accurate CFD analysis. Geometry Preparation for CFD

4. Learn Advanced Meshing Techniques: Efficient meshing is crucial for CFD. SolidWorks offers tools for creating quality meshes that can significantly impact your analysis results. SolidWorks Meshing

5. Integrate with CFD Software: SolidWorks seamlessly integrates with various CFD software. Learn to use the Flow Simulation add-on or how to export models for use in specialized CFD programs. SolidWorks Flow Simulation

6. Keep Updated with New Features: SolidWorks is constantly updated with new features that can improve your CFD-related work. What's New in SolidWorks

7. Join the SolidWorks Community: Engage with other SolidWorks users, especially those focused on CFD, to share tips, tricks, and best practices. SolidWorks Community Forums

8. SolidWorks Tutorials and Training: Official tutorials and training can significantly improve your proficiency. MySolidWorks Training

Focusing on these areas can help enhance your SolidWorks skills, making your CFD engineering tasks more efficient and accurate.

How to Display SolidWorks Skills on Your Resume

6. C++

C++ is a high-level programming language that offers a blend of procedural, object-oriented, and generic programming features, making it well-suited for developing complex computational fluid dynamics (CFD) simulations and numerical algorithms with efficient execution and advanced data structures.

Why It's Important

C++ is crucial for a CFD (Computational Fluid Dynamics) Engineer because it offers high performance and efficient memory management, enabling the development of complex simulations and numerical models with greater accuracy and speed.

How to Improve C++ Skills

Improving your C++ skills, especially as a Computational Fluid Dynamics (CFD) Engineer, involves focusing on areas of the language that are most relevant to high-performance computing, numerical methods, and data processing. Here's a concise guide:

1. Master C++ Fundamentals: Ensure a solid understanding of C++ basics, OOP principles, templates, and the STL. C++ Primer is a great resource.

2. Understand Memory Management: Proficiency in managing memory (stack vs. heap), understanding RAII, and using smart pointers is crucial. LearnCpp.com offers excellent tutorials.

3. Parallel Computing: Learn to utilize C++ for parallel computing to optimize CFD simulations. Get familiar with OpenMP for shared-memory parallelization and MPI for distributed computing. The OpenMP tutorials and MPI: A Message-Passing Interface Standard are valuable.

4. Optimization Techniques: Study optimization techniques for C++, focusing on computational efficiency and algorithm optimization. Agner Fog's optimization resources are comprehensive.

5. Utilize Libraries: Leverage scientific libraries like Eigen for linear algebra, FFTW for Fourier transforms, and CGAL for geometric algorithms. Familiarity with these can significantly speed up development. Visit Eigen, FFTW, and CGAL.

6. Version Control and Coding Standards: Use version control systems like Git for code management. Adopt coding standards (e.g., Google's C++ Style Guide) for maintainability. Git and Google C++ Style Guide are recommended.

7. Practice and Projects: Engage in practical projects, contribute to open-source CFD projects, or solve problems on platforms like GitHub and LeetCode using C++.

8. Continuous Learning: Stay updated with the latest C++ standards (C++11/14/17/20) and practices by following CppCon and reading ISO C++.

By focusing on these areas, you'll significantly enhance your C++ proficiency, directly benefiting your capabilities as a CFD Engineer.

How to Display C++ Skills on Your Resume

7. Mesh Generation

Mesh generation in the context of a CFD (Computational Fluid Dynamics) engineer involves creating a discrete representation of the computational domain through a network of cells or elements (mesh). This mesh serves as the framework for solving fluid flow and heat transfer equations numerically, enabling the simulation of physical phenomena within the specified domain.

Why It's Important

Mesh generation is crucial for a CFD engineer because it divides the computational domain into discrete elements, enabling the numerical approximation of fluid dynamics equations to predict fluid flow behavior accurately.

How to Improve Mesh Generation Skills

Improving mesh generation in the context of Computational Fluid Dynamics (CFD) involves enhancing accuracy, efficiency, and adaptability of the mesh to accurately capture fluid flow characteristics. Here are concise strategies:

1. Refinement: Implement local mesh refinement in regions of high gradient (e.g., boundary layers, wakes) to capture flow details without excessively increasing overall mesh size. ANSYS Meshing offers tools for adaptive mesh refinement.

2. Quality: Ensure high-quality elements (e.g., avoiding highly skewed or distorted elements) to improve solution accuracy and convergence. Pointwise provides robust mesh quality diagnostics and repair tools.

3. Topology Optimization: Use topology optimization techniques to determine the most effective mesh layout, focusing on performance and computational efficiency. Siemens' Simcenter STAR-CCM+ includes features for optimizing mesh configurations.

4. Hybrid Meshing: Combine structured and unstructured meshing techniques to take advantage of both approaches, balancing mesh quality and flexibility. OpenFOAM supports various mesh types for diverse applications.

5. Parallel Meshing: Utilize parallel mesh generation tools to reduce preprocessing time for large or complex geometries. MeshGems includes parallel meshing capabilities to speed up the mesh generation process.

6. Adaptive Meshing: Implement adaptive meshing strategies that automatically refine or coarsen the mesh based on flow solution feedback, ensuring accuracy while controlling computational cost. CFD++ offers adaptive mesh refinement (AMR) capabilities.

By focusing on these strategies, CFD engineers can significantly enhance mesh generation outcomes, leading to more accurate and efficient simulations.

How to Display Mesh Generation Skills on Your Resume

8. STAR-CCM+

STAR-CCM+ is a comprehensive software tool for Computational Fluid Dynamics (CFD) simulation, providing engineers with capabilities for fluid flow, heat transfer, and stress analysis across a wide range of applications.

Why It's Important

STAR-CCM+ is important for a CFD Engineer because it provides a comprehensive, integrated simulation environment for performing complex fluid dynamics and heat transfer analysis, enabling accurate and efficient design optimization and problem-solving across a wide range of industries.

How to Improve STAR-CCM+ Skills

Improving skills in STAR-CCM+ as a CFD (Computational Fluid Dynamics) Engineer involves focusing on several core areas: mastering the software's features, understanding the physics being modeled, enhancing computational efficiency, and staying updated with the latest developments. Below are concise strategies and resources to help you achieve these improvements:

1. Deepen Software Proficiency:

   • Tutorials and Documentation: Start with STAR-CCM+ tutorials provided by Siemens. They cover a wide range of applications and complexities.
   • Certification Program: Consider the STAR-CCM+ Certification to validate your skills.

2. Understand Physics and Modeling Techniques:

   • Educational Resources: Explore courses and books on fluid dynamics and CFD principles. Websites like Coursera and edX offer courses related to fluid mechanics and CFD.
   • Specialized Forums and Webinars: Engage in STAR-CCM+ forums and attend webinars to learn from experts and peers.

3. Enhance Computational Efficiency:

   • Meshing Techniques: Focus on learning advanced meshing techniques to reduce computational time without compromising accuracy.
   • Parallel Computing: Utilize STAR-CCM+'s capabilities for parallel computing to speed up simulations. Understanding hardware limitations and optimal settings is crucial.

4. Stay Updated:

   • Software Updates: Regularly check Siemens' official STAR-CCM+ Updates for new features and optimizations.
   • Continuous Learning: Subscribe to CFD-related journals and online platforms like ResearchGate to stay informed about the latest research and methodologies in CFD.

5. Hands-on Practice:

   • Real-World Projects: Apply your skills on diverse projects. Practical experience is invaluable for understanding complex simulations and troubleshooting.

6. Network and Collaborate:

   • Conferences and Workshops: Attend CFD and industry-specific conferences to network with professionals and learn from their experiences.

Improving your STAR-CCM+ skills is a continuous process that combines learning new features, understanding the underlying physics, and applying knowledge to solve complex engineering problems efficiently.

How to Display STAR-CCM+ Skills on Your Resume

9. AutoCAD

AutoCAD is a computer-aided design (CAD) software used for creating precise 2D and 3D drawings, essential for CFD engineers in designing and analyzing fluid flow simulations and geometries.

Why It's Important

AutoCAD is important for a CFD (Computational Fluid Dynamics) Engineer as it provides precise and efficient tools for creating and modifying geometric models, which are essential for accurate mesh generation and simulation analysis in fluid flow and thermal studies.

How to Improve AutoCAD Skills

Improving your AutoCAD skills, especially as a CFD (Computational Fluid Dynamics) Engineer, involves focusing on aspects that enhance modeling efficiency, accuracy, and integration with CFD analysis tools. Here are concise tips:

1. Master Keyboard Shortcuts: Learn and use AutoCAD keyboard shortcuts to speed up your workflow. AutoCAD Shortcuts Guide.

2. Utilize Custom Scripts and Macros: Automate repetitive tasks with AutoLISP or macros. AutoLISP Tutorial.

3. Enhance 3D Modeling Skills: Focus on 3D modeling techniques that are crucial for accurate CFD analysis. 3D Modeling in AutoCAD.

4. Learn to Use Data Extraction Tools: Extract geometrical and attribute data efficiently for CFD analysis. Data Extraction in AutoCAD.

5. Integrate with CFD Software: Familiarize yourself with direct integration or file export options to CFD software like ANSYS Fluent or Autodesk CFD. ANSYS Fluent Integration, Autodesk CFD.

6. Participate in Online Courses and Forums: Engage in community forums and take specific courses. AutoCAD Forums, LinkedIn Learning for AutoCAD.

Improving in these areas will significantly enhance your capabilities as a CFD Engineer using AutoCAD.

How to Display AutoCAD Skills on Your Resume

10. ParaView

ParaView is a powerful open-source, multi-platform data analysis and visualization application specifically designed for analyzing large datasets generated by computational simulations, such as those commonly encountered in Computational Fluid Dynamics (CFD) engineering. It enables engineers to visualize their simulation results, helping to interpret data, identify trends, and communicate findings efficiently.

Why It's Important

ParaView is crucial for CFD engineers because it provides powerful visualization and analysis capabilities, enabling them to interpret complex computational fluid dynamics data easily and accurately, leading to better understanding and optimization of fluid flows in their simulations.

How to Improve ParaView Skills

Improving your proficiency and experience with ParaView as a CFD Engineer involves a multi-faceted approach focusing on understanding visualization techniques, mastering the software's advanced features, and integrating it efficiently into your workflow. Here’s a concise guide:

1. Master the Basics: Ensure you have a solid understanding of ParaView's interface, basic visualization concepts, and data importing. The official ParaView Guide is a great starting point.

2. Advanced Visualization Techniques: Learn about advanced visualization techniques such as volume rendering, particle tracing, and custom filters to better analyze your CFD data. The ParaView Wiki provides examples and tutorials.

3. Automation with Python Scripting: Automate repetitive tasks and create custom analysis workflows using ParaView’s Python scripting interface. This can significantly improve efficiency. Check out ParaView Python Scripting for documentation and examples.

4. Custom Plugins: If ParaView lacks specific functionality you need, consider developing custom plugins. The ParaView Plugin HowTo guide explains the process.

5. Performance Optimization: Optimize ParaView’s performance for large datasets by leveraging its parallel processing capabilities. The ParaView Users Guide discusses configuration options for performance.

6. Stay Updated and Engaged with the Community: New features and improvements are regularly added to ParaView. Stay updated by following the ParaView Blog and engaging with the community through forums like the ParaView Discourse for tips, tricks, and support.

7. Training and Workshops: Participate in workshops and training sessions. These can provide hands-on experience and insights from experts. Kitware, the company behind ParaView, often offers courses.

By exploring these resources and continuously experimenting with ParaView’s features, you can significantly improve your ability to visualize and analyze CFD data, leading to more insightful simulations and presentations.

How to Display ParaView Skills on Your Resume

11. Tecplot

Tecplot is a powerful visualization and analysis software tool designed for CFD engineers to efficiently plot and explore simulation data, enabling in-depth examination of fluid flow and other related physical phenomena.

Why It's Important

Tecplot is crucial for a CFD Engineer because it provides powerful visualization and analysis tools, enabling the efficient interpretation of complex fluid dynamics simulations, aiding in the identification of patterns, anomalies, and performance metrics critical for optimizing designs and solving fluid flow challenges.

How to Improve Tecplot Skills

Improving your experience with Tecplot as a Computational Fluid Dynamics (CFD) Engineer involves enhancing both your efficiency in using the software and the quality of your data visualization. Here are concise steps:

1. Understand Tecplot Basics: Ensure you're familiar with Tecplot's fundamentals. Their Quick Start Guide is a great resource.

2. Utilize Tecplot Macros and Automation: Automate repetitive tasks using Tecplot's macro functionality. Learn how to create and use macros in Tecplot through the Macro Basics guide.

3. Leverage Tecplot Add-ons: Explore and integrate add-ons specific to CFD analysis for enhanced functionality. Check out available add-ons and extensions on the Tecplot Add-ons Page.

4. Engage with Tecplot Community and Support: Join forums and communities for Tecplot users. Sharing insights and getting advice can provide new perspectives and solutions. Start with the Tecplot Talk Forum.

5. Stay Updated: Always use the latest version of Tecplot for new features and improved performance. Check the What’s New section for the latest updates.

6. Educational Resources: Continuously improve your skills by accessing webinars, tutorials, and workshops offered by Tecplot. Explore the resources available at the Tecplot Resource Center.

7. Optimize Data Management: Efficient data management strategies can significantly enhance performance. Learn about best practices for managing your CFD data in Tecplot through the documentation and Tecplot Blog.

Implementing these steps will help you use Tecplot more effectively, leading to better CFD analysis and visualization outcomes.

How to Display Tecplot Skills on Your Resume

12. Linux

Linux is a free, open-source operating system kernel used in various distributions, offering robust tools and software for computational fluid dynamics (CFD) simulations and programming, favored for its stability, security, and high performance on clusters and workstations.

Why It's Important

Linux offers unparalleled stability, performance, and customization options, making it ideal for computational fluid dynamics (CFD) simulations which require extensive computational resources and precision. Its open-source nature allows for tailored optimizations to suit specific CFD software and workflows, enhancing efficiency and accuracy in engineering analyses.

How to Improve Linux Skills

Improving Linux for a Computational Fluid Dynamics (CFD) Engineer involves optimizing the system for performance, enhancing the user experience, and ensuring robust data handling capabilities. Here's a concise guide:

1. Optimize Performance:

   • CPU and Memory Optimization: Use htop or top to monitor and manage processes. Consider using nice and renice to prioritize CFD processes. CPU Optimization Guide
   • I/O Scheduling: Optimize I/O scheduling for your workload by choosing the appropriate scheduler, like deadline for SSDs. I/O Scheduler Guide

2. Enhance User Experience:

   • Efficient Work Environment: Use a lightweight Desktop Environment like XFCE or LXQt for more resources dedicated to CFD tasks. XFCE
   • Script Automation: Automate repetitive tasks with Bash scripting or Python for efficiency. Bash Scripting Tutorial

3. Data Handling and Visualization:

   • Parallel File Systems: Consider setting up a parallel file system like Lustre for handling large datasets efficiently. Lustre File System
   • Visualization Tools: Utilize powerful visualization software compatible with Linux, such as ParaView or OpenFOAM for result analysis. ParaView, OpenFOAM

4. Optimize Networking for Distributed Computing:

   • Fine-tune Network Settings: Adjust TCP/IP settings and use tools like iperf to maximize network performance for distributed CFD tasks. Network Tuning

5. Use High-Performance Linux Distributions:

   • Scientific Linux or CentOS: These distributions are optimized for scientific workloads and provide a stable platform for CFD applications. Scientific Linux, CentOS

By focusing on these areas, a CFD Engineer can significantly improve their Linux setup, leading to more efficient and productive computational simulations.

How to Display Linux Skills on Your Resume