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Field
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scholarship in a range of fields and research areas, including the humanities, social sciences, physical sciences and engineering. The program is open only to those who have received their PhD from Brown
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culture techniques, DNA/RNA work, immunostaining, and animal husbandry (mice). Experience with endothelial biology and/or lipoprotein biology. Completion of a PhD program with an expected training time
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) or enrolled in a PhD (or equivalent international degree) program. Additional qualifications (required at time of start) PhD (or equivalent international degree) required by the appointment start date
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. These fellowships support outstanding postdoctoral scientists pursuing research that bridges the disciplines of physics, biology, chemistry, mathematics, and/or computer science. The program was inaugurated in 2022
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
a collaborative spirit and a drive for problem-solving. You'll join a multidisciplinary team that values diversity and brings together expertise in software engineering, big data, clinical informatics
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Massachusetts Institute of Technology, MIT Kavli Institute Position ID: MIT-MIT Kavli Institute-PAMILLHOLLAND [#30922] Position Title: Position Type: Postdoctoral Position Location: Cambridge
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The Department of Biotechnology and Food Science, Institute of Computational Biology is currently seeking a Postdoctoral Research Associate (Reference code 216) Extent of employment: 40 hours per
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Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical engineering or related disciplines with
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, background in imaging, computational modeling, and molecular biology. Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted
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models Disseminate research through publications, presentations, and open-source contribution Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in Materials Science, Data