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the Department of Naval Architecture and Marine Engineering. This role involves coordinating, planning, and executing administrative activities for the BRIDGE program. Activities include providing professional
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or professional degree graduates or junior postdoctoral trainees in an engineering, life sciences, physical sciences or a related field. A PhD or professional degree must be granted prior to starting the fellowship
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://apply.interfolio.com/167469 ; any questions or inquiries can be sent to nprieur@umich.edu . Job Summary The SEH Program is seeking a postdoctoral research fellow to join Drs. Grace Noppert and Kate Duchowny in
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in the position and outline skills and experience that directly relate to this position. Job Summary We are seeking a highly motivated Postdoctoral Research Fellow for a 12-month appointment focused
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neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab
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infrastructure available to support the study of this topic. CID is housed at the Institute for Social Research , one of the world's largest social science research organizations. The Postdoctoral Fellow (PF) will
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social science fieldwork, such as interviews or surveys Knowledge about data science and computational methods, such as network analysis Familiarity with natural hazards and public health risks associated
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and/or MD, and have postdoctoral research experience in the area of hematology/oncology research, specifically in the subject of total synthesis and medicinal chemistry with expertise in the synthesis
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opportunities to work with other investigators from Michigan and Harvard. Required Qualifications* Ph.D. in Statistics, Mathematics, Biostatistics, and Computer Science. Strong computing skills using R, Python
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. (pierre.apostolides@umich.edu ). Job Summary The Apostolides Lab has multiple, fully-funded positions for postdoctoral fellows to undertake projects related to auditory perception, reinforcement learning, and neural