41 parallel-computing-numerical-methods Fellowship positions at University of Michigan
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at the University of Michigan in Ann Arbor, the Quantum Research Institute (QRI) is recruiting outstanding postdoctoral researchers working across quantum information science, engineering, and technology (QISET). QRI
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of Michigan, directed by Ashley N. Gearhardt, Ph.D ., is seeking a Postdoctoral Research Fellow to join a multidisciplinary research program focused on the addictive potential of ultra-processed foods (UPFs
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that target dental pathogens. The successful candidate will have opportunities to interact with external collaborators, such as computational biophysicists or medicinal chemists. The position would be ideal
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at the University of Michigan in Ann Arbor, the Quantum Research Institute (QRI) is recruiting outstanding postdoctoral researchers working across quantum information science, engineering, and technology (QISET). QRI
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slow aging and extend the healthy lifespan in genetically heterogenous mice. The Kaczorowski lab utilizes cutting edge neuroanatomical, neuroimaging, computational, and behavioral genetic approaches
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. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants
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. Must have experience with analysis of sequencing data (RNA-seq, CUT&RUN, etc) and/or sufficient computation background to learn these analyses. Must have a strong publication history supporting potential
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applications Human-centric and sensing-enabled mechanical systems Strong background in computational modeling and analysis, including finite element analysis (FEA), multiphysics simulations, and data-driven
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Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position. Please...
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program. Our interdisciplinary team investigates the biological mechanisms linking obesity to breast cancer and explores how lifestyle (exercise/nutrition) and pharmacological interventions can reduce