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expected to be: September 16, 2024 This position is expected to be for 12 months. Candidates should have at least an MS in Computer Science and Engineering or a related field and at least a summer of related
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interdisciplinary translational nutrition research lab under established procedures to assure personal and lab safety. Trainees participate in the established CNRC Postdoctoral Training Program which involves forming
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Research Associate/Post-Doctoral Fellow - Institute for Research on the African Diaspora in the Amer
activities related to IRADAC and to the Ph.D. program of his/her own discipline. We welcome applications from disciplines within the humanities and social sciences, including Anthropology, Education, English
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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
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related field (e.g., statistics, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding
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liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network
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and society, is developing an emerging research and teaching program in design that embraces Princeton's commitment to the betterment of humanity through deliberative, informed, and thoughtful design
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science or closely related field in hand by October 1, 2025
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Skip to main content Recruit Home Open Recruitments Postdoc Employee – Transposons Research – Molecular and Cell Biology (JPF05057) Postdoc Employee – Transposons Research – Molecular and Cell
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at the University of California Los Angeles (UCLA), located in the Bioengineering Department. Leveraging chemical biology and fluorescence imaging techniques, we are developing a new platform to detect tuberculosis