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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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Engineering, Human-Computer Interaction, or a closely related field. Strong programming proficiency in C#, C++, or Python. Hands-on experience with foundational AR/VR development platforms, such as Unity3D
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and engineering systems, with advanced programming experience in Python and ML frameworks such as PyTorch and JAX. Department/Program & College Description: At VRAC, our mission is clear: “To elevate
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candidate will be to use a combination of CUDA, Python and C++ programming to develop CADD tools which will curate the human proteome, upgrade the group’s MoPBS software, develop new GPU enabled pharmacophore
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(or similar) for dashboard & report development, including calculated fields, parameters & advanced visualizations Working knowledge of Python, R, or similar programming languages for data manipulation
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Windows server administration, installing applications and data science tools (R, RStudio, Python, Anaconda). Experience with cloud monitoring tools (AWS SNS, CloudWatch, billing dashboards) and budget
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 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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FieldPhysics » Chemical physicsEducation LevelPhD or equivalent Skills/Qualifications Profile of Candidates/Requirements: A Ph.D. or equivalent in a related field. Proficiency in Python programming. Deep
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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