87 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at Stanford University in United States
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Posted on Wed, 02/12/2025 - 13:31 Important Info Deprecated / Faculty Sponsor (Last, First Name): Han, Summer Stanford Departments and Centers: Medicine, Biomedical Informatics Research (BMIR
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and make sue of some of the new methods we have developed, with a particular focus on human immunology and diseases. Required Qualifications: Ph.D in some area of immunology Enjoy collaborative work and
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. Requirements are a Ph.D. in immunology, publications and a willingness to learn and make use of some of the new methods we have developed, with a particular focus on human immunology and diseases. Required
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embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
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work on a priority research program in which individuals are assessed with functional MRI, behavioral, and symptom measures before, during, and after treatment. Treatment includes selectively targeted
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Affairs. The FY25 minimum is $76,383. Our postdoctoral research fellowship program is dedicated to preparing scholars for an academic career in the domains of pediatric perioperative, pain, sleep, and/or
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writing, medical education, curriculum design and implementation, program evaluation, and simulation as a teaching method. Opportunities to be involved in the administrative side of sim center operations
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with strong emphasis on developing, testing, and implementing optimized control or design strategies for water systems. They should have documented experience developing computational tools in water
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, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research on human trafficking, including supply
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employ advanced analytical methods in large databases, which include claims data and electronic health record data in conventional structures and in common data models. Our research group prioritizes a