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Field
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. Profile sought: We are looking for a highly motivated postdoctoral researcher with a PhD in Neuroscience or a related field. Required skills: Proficiency in programming (Matlab, Python, and/or R); Autonomy
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record of peer-reviewed articles. High proficiency in graphical and statistical software, such as RStudio, Python, ARM, and BioRender. Knowledge of fundamental ecological theories and their applications in
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or medical imaging. - Technical Skills: Proficiency in programming languages such as LLMs, CNN, DNN, Python, MATLAB, or R, with experience in imaging software and AI frameworks is desired. - Research Acumen
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(Python, MATLAB, JMP) and technical documentation. Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude
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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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, 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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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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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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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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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