81 phd-computer-science-fully-funded Postdoctoral positions at University of Minnesota
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in the lab and is expected to foster the development of junior lab members. Qualifications Required Qualifications: The ideal candidate will have a PhD in microbiology, biochemistry, bioinformatics
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interdisciplinary exchange, a growing population science training program, and research support services designed to develop and nurture promising areas of new population research. Affiliates of the MPC benefit from
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(subfield: experimental condensed matter physics) or closely related field, such as Electrical Engineering. Preferred Requirements: Applicants whose PhD work included substantial experimental work with a
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with innovative modeling methods and data analytics methods and spur cross-discipline development between the team in both water resources and computer science. Specifically, the research projects
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• PhD, DDS, DVM, JD, MD or equivalent is required. Preferred Qualifications • Experience with primary airway epithelial cell biology. • Experience with viral vector-based gene therapy for pulmonary
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limited to, such as Biochemistry and Molecular Biology, Cancer Biology, and Pharmacology. Qualifications Required qualifications: • PhD or MD/PhD degree in biochemistry, biology, pharmacology, or related
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. If the applicant has not completed their degree, they will be hired as a predoctoral associate (9545) until their PhD is conferred. Percentage breakdown of duties: 20% Captures and collars coyotes and foxes in urban
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The School of Mathematics, located in the heart of the University of Minnesota's College of Science and Engineering, features over sixty faculty and more than 120 graduate students engaged in world-class
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agreements on a temporary or permanent basis for any reason at any time. All required qualifications must be documented on application materials. Required Qualifications: • PhD in Retinal Biology, Immunology
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diseases, including cancer • Conduct cellular and molecular biology experiments • Produce and purify AAVs (adeno-associated viruses) • Conduct bioinformatic analysis of data 20% Professional Development