3,129 phd-position-computer-science-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions in United States
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 4 days ago
@orau.org Qualifications A PhD in Planetary Science, Earth Science, Geochemistry, Cosmochemistry or a related field is required by the start. Wet chemistry lab experience is essential. Experience or previous
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, publications, and specialized training in biomedical, biological sciences, or related fields. This is an ongoing recruitment. Positions are dependent on extramural funding. Initial appointments are for two years
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SPECIFICS Job duties and responsibilities Post-doctoral position in Electron microscopy A fully funded postdoctoral position in the field of advanced electron microscopy is available at the Materials Science
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project described within the Position Highlights. Run computer simulations, write papers, and occasionally help with advising graduate students. Knowledge, Skills, and Abilities: Knowledge, in nonlinear
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Aging Training Program (https://live-uwhalo.pantheonsite.io/uwhalo/bmha/post-doctoral-openings/ ). The position is 100% FTE for 12 months. Benefits such as medical, dental, and retirement are also
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Carnegie Mellon University, Mathematical Sciences Position ID: CMU -PDMFSA [#26884] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh, Pennsylvania 15213
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://as.nyu.edu/biology/directory.fei-li.html This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through
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validations. What we are looking for PhD (or MSc with research experience) in AI, CS, Bio-engineering, or Bioinformatics. You have experience with applying AI technologies in (regulatory) genomics, as
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Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job Description Under
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cytoskeleton and membrane trafficking. • Utilize quantitative, biophysical, and computational approaches to cell biology, including fluorescence imaging, image analysis, and biophysical modeling. • Experiment