2,343 machine-learning "https:" "https:" "https:" "https:" "https:" "The Francis Crick Institute" Postdoctoral positions in United States
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include experience with fiber sensing, machine learning tools, and big data workflows. Instructions To apply, candidates will submit materials via Interfolio, comprising (1) a letter of interest describing
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research in several areas. Learning activities will focus on: The development and characterization of animal models and/or microphysiological systems for viral agents. Emphasis is placed on determining
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related to the research program. 10% - Mentor undergraduate and graduate students. Additional information about the project can be found at https://nsfepscor.ku.edu/arise-researchers/ . Additional
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screenings in accordance with University Policy as required and RS:17 screenings (https://www.legis.la.gov/legis/Law.aspx?p=y&d=1297548) . For questions or concerns about updating your application with
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candidates can submit a cover letter, CV/resume, and one sample of work or writing related to any of the duties listed above here: https://indiana.peopleadmin.com/postings/32133 . Priority consideration will
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-time Postdoctoral Scholar position is available on an annual 12- month appointment in the Wang Lab at the Department of Pharmaceutics at the University of Washington (https://sop.washington.edu
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: Florian Oschmann Email: Postal Mail: Charles University Faculty of Mathematics and Physics Sokolovská 83, 186 75, Praha 8, Czech Republic Web Page: https://florian-oschmann.github.io/open_pos.html
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Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting https://jobs.rutgers.edu/postings
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-electron microscopy–based approaches. More information about the laboratory can be found at: https://www.cryo-em.psu.edu/ . The postdoctoral scholar will contribute to ongoing projects to define structural
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hardware Experience with atomic layer deposition and process development Experience with thin film and materials characterization Strong background in computational materials science and machine learning