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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 21 days ago
, Mechanical Engineering, or a closely related field Demonstrated experience in DNS or LES of complex flows Strong background in CFD, turbulence, and numerical methods Proficiency in Python for simulation setup
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) studies is expected. Solid skills in at least one programming language (R, Python or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform
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. Proficiency in a scientific programming language (Python preferred). Track record of peer-reviewed publications. Strong organizational and teamwork skills. Online Application Required Documents Curriculum Vita
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robotic platforms Experience in programming and configuring control systems for automation and robotics, including relevant programming languages such as PLC, Python, C/C++, MATLAB, ROS, or equivalent
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, including parallel computing frameworks, C/C++, Julia and/or python Experience with training AI surrogate and/or inverse models Experience working in underground laboratories and/or clean rooms Excellent
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. Experience in multiple scientific programming languages (Python, Julia, Fortran, C++, AI etc.) Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and
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., Python or R; reproducible workflows; version control) Experience or interest in AI/ML application to ecophysiological research Preferred Qualifications: Hands-on experience with lab/growth chamber and/or
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to apply. Basic to advanced experience with computational analysis and R/Python. Excellent oral and written communication skills and be able to work effectively with collaborating researchers. Successful
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programming experience in the Python or Matlab languages. Desirable Criteria Experience 12. Experience in the development of Free Space Optical Communications or Adaptive Optics systems 13. Experience working
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environmental impacts (e.g., greenhouse gas emissions and impacts to air and water quality). Interest in spatially explicit environmental impact assessments at regional and local scales. Proficiency in R, Python