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languages such as python will be considered as an additional asset. LanguagesENGLISHLevelExcellent Research FieldChemistry » Other Internal Application form(s) needed SONATA-BIS-12-postdoc2-EN2-2026(3).pdf
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Appointment Term: 2 years Appointment Start Date: July 1, 2026 Group or Departmental Website: https://ed.stanford.edu/faculty/ksadow (link is external) How to Submit Application Materials: Fill out
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7285-KARDEO-009/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD or equivalent
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
, exoplanet observational modeling, exoplanet observational data analysis. The candidate shall also have significant programming experience in a language such as Python, Matlab, or IDL. The ideal candidate will
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Number req25560 Department Immunobiology Department Website Link https://immunobiology.arizona.edu/ Location Tucson Campus Address 1656 E. Mabel Street, Tucson, AZ 85721 USA Position Highlights The
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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. - Experience in programming, e.g., in C++, Python or Matlab. Experience with quantum simulators, such as NetSquid, is a plus. - Curiosity to research and develop new solutions in collaboration with senior and
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must be completed by the time of appointment. The ideal candidate will demonstrate outstanding analytical and quantitative modelling skills, with strong programming proficiency. Experience with MATLAB
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T cell biology or cancer immunology, and programming skills (R, Python) for data analysis. Please also read recent manuscripts published in the last two years 2024 Nature: (https://www.nature.com
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fibers and optical phenomena. 3. Experience in conducting research and disseminating results. 4. Experience in working in research teams. 5. Knowledge of the MATLAB, Python, PyTorch, or TensorFlow