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) proficiency in programming, including Python and Matlab, data analysis, and standard Microsoft Office Suite; (c) a publication record, preferably in logistics or operational research fields; and (d
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 5 hours 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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, biomedical informatics, or a related quantitative field; outstanding candidates at either level are encouraged to apply Strong programming skills, especially in Python; experience with TypeScript/JavaScript
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strong background in machine learning and/or computer vision is required, along with solid programming skills in Python and experience with deep learning frameworks (e.g. PyTorch). Prior research
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dedicated learning opportunities. What you'll bring Essential A Ph.D. in Computer Science, Physics, Engineering, Biology, or related fields. Experience with machine learning. Experience with scientific python
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; Mechatronics; Agricultural Engineering; Mechanical Engineering; Electrical/Electronic Engineering; Computer Science; Control Engineering, or a related discipline Desirable: • Programming in Python or C
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rigorous documentation and version control. Solid programming and data-analysis skills (e.g., Python) and experience working with structural biology and protein-design software/toolchains (e.g., Rosetta
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, LLM, Stata, Python, or R; (f) have track record of publications in high-quality international journals or demonstrated potential for future publications; and (g) have experience in collaborative
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to support computational analyses, interpret results, and produce publication-quality figures and written reports. Maintain and document lab software tools, HPC workflow scripts, Python packages, and
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analysis algorithms using Python and databases. 3) Prototyping and experimental testing: implementation of prototypes of electronic light sensor devices and conducting experimental tests of the indoor