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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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, mathematics, or a related field.bioinformatics, statistics, mathematics, or a related field. Why Join Michigan Medicine? Michigan Medicine is one of the largest health care complexes in the world and has been
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to design and perform experiments, data analysis and interpretation, statistical calculations, prepare PowerPoint presentations, perform literature research on specified topics, and draft research manuscripts
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components; patient care, education and research that together enhance our contribution to society. Required Qualifications* PhD in bioinformatics, computational biology, systems biology, statistics, physics
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evaluation and funding, reporting to the Weil Institute Director of Data Science and Project Principal Investigator. Who We Are The Max Harry Weil Institute for Critical Care Research and Innovation The Weil
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the project's multiple principal investigators (MPIs), the Post-Doctoral Research Fellow will contribute to the scientific aims of NSAL, including but not limited to: Assisting the MPIs and Project Director on
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resonance (MR) imaging, focusing on advancing the understanding of urinary tract physiology and its disorders. The successful candidate will primarily work on an NIH-funded, multi-institutional project aimed
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, this position will contribute to laboratory seminars and discussions, allowing the candidate to impact the direction of their research project and other projects within the research group. Assist in training
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the project progresses. Required Qualifications* PhD (or equivalent) in Biomedical Sciences or related subjects. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are
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contribute to laboratory seminars and discussions, allowing the candidate to impact the direction of their research project and other projects within the research group. Assist in training of lab members