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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 4 hours ago
inductively coupled plasmas, arcjets, Python, or CAD design for hardware integration is desirable. Point of Contact Mikeala Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Doctoral Degree
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transport, buildings, and industry sectors. *Experience with managing, processing and analyzing large datasets. *Strong programming skills, particularly Julia/JuMP and/or Python. *Strong scientific writing
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the relevant literature, and are proficient in Python and common ML frameworks. What you will do You will design and evaluate learning-based methods for navigation and perception, develop and analyse
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theory/cold atoms/quantum information/quantum simulators/quantum optics supported by good publication record, • good programming skills (python/julia, c++), • fluency in written and spoken English
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programs such as R, Python, Matlab, or similar. Experience designing psychology experiments within a lab setting. Preferred Qualifications Analysis of fMRI experiments (e.g. FSL). Record a peer-reviewed
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functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
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or organoids. Basic bioinformatic knowledge (R/Python) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities
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programming languages such as Python, Fortran, C, C++, etc.; statistical physics of liquids, etc.). A good knowledge of spoken and written English is also required. Website for additional job details https
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, execution, and regulatory submissions) proficiency in bioinformatics, statistical analysis (R, Python, SAS, or similar) fluent in English (written and spoken) proven grant-writing success and ability
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, transformer-based models), including experience with their application to biomedical and biological data; - Experience with machine learning frameworks and programming languages (e.g. Python) for handling large