35 phd-in-theoretical-neuroscience Fellowship research jobs at University of Michigan
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Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
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models. The Sutton Lab is housed within the Michigan Neuroscience Institute (https://medicine.umich.edu/dept/michigan-neuroscience-institute ) in the Interdisciplinary Taubman Biomedical Sciences Research
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, Computer Science, Mathematics, Physics or related areas is required. The successful candidate will have a strong record of computational/theoretical/research and excellent communication skills. Additional
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social science research center that conducts investigator-initiated, survey-based research on theoretical and applied problems of both social and scientific importance (see www.src.isr.umich.edu). Scholars
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in the position and outline skills and experience that directly relate to this position. Job Summary PET NeuroImaging Data Analysis: Multimodal Data Integration for Neuroscience Applications Mission
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coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Working alongside with wet-bench scientists and PhD candidate (both with and without computational experience
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, consent 30% - MRI Data Collection and Data Analysis 15% - MR Image Evaluation and Annotation 15%-Conference Abstract and Manuscript Preparation Required Qualifications* Applicants should have a PhD
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School. KHRI and the neuroscience community at the U-M provide a highly supportive and diverse research environment and excellent career development opportunities for postdoctoral fellows. We are committed
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Apply Now Required Qualifications* A PhD is required for this position. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department
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. The Kaczorowski lab is in the Department of Neurology at the University of Michigan Medical School located in Ann Arbor, Michigan. The Michigan Neuroscience Institute (MNI) continues to be a leader in innovative