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-Prime, Presentation, PsychoPy, or other software. Experience in general computing such as working with the UNIX command line (Mac/Linux), and programming in MATLAB, R, Python, or other language
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 17 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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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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hold a Ph.D. in materials physics or scientific imaging, with proven experience in spectral imaging techniques (e.g., software such as Python, R, HyperSpy) and/or synchrotron techniques (luminescence, UV
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, particularly in R, Python, or other relevant languages, is required. Qualified candidates should also meet the following criteria: a Ph.D. or M.D./Ph.D. in computational biology, or in biomedical sciences with a
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steps. You have experience with R or Python and feel comfortable working with large language models or you would like to develop your skills further in these areas. You ask critical questions about AI
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-omic data integration. Computational skills for data analysis (e.g., Python/R, workflow tools, and reproducible research practices). Prior work related to neurodevelopmental disorders, regulatory
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with z-Tree, oTree, and Python. Running computerized laboratory, online, and field experiments. Recruiting, training, and supervising undergraduate research assistants Performing research duties (e.g
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experimental physics, nanofabrication, low temperature measurements, THz optics, Python programming would be an asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2940-ELOBER-173