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Field
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Strong programming expertise in Python and experience with frameworks such as PyTorch, Hugging Face Transformers, or equivalent tools Demonstrated ability to develop scalable, automated, and reproducible
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 24 days ago
programming experience related to finite element analysis and scientific computing in Python. Field of Science: Aeronautics Advisors: George Weber [email protected] (215) 266-7062 Questions about this
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of experience within the field. Scientific and numerical programming in Python or R and knowledge of class ML methods and deep learning methods. Well versed in a variety of bioinformatic analyses, including Next
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spintronics, or cavity spintronics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS). Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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spectroscopy measurement at state-of-the-art large-scale facilities. You will perform quantitative data analysis using programming languages such as Python. You will perform preliminary calculations to interpret
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, or related biodiversity forecasting approaches; advanced programming skills in R and/or Python and experience with reproducible analytical workflows; experience handling large geospatial, biodiversity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
programming (e.g., C++ and/or Python) in a high-performance computing environment. Ability to carry out independent research and to work effectively in a collaborative team. Strong written and oral
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, quantitative data analysis, and simulation using tools such as Python, LabVIEW, MATLAB, Mathematica, Origin, or COMSOL Multiphysics. Background in superconductivity, magnetism, thin films, surfaces and
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). Familiarity with wilderness policy and the National Wilderness Preservation System. Proficiency in R, Python, or GIS platforms. The Successful Candidate Will Possess excellent written and oral