51 parallel-processing-bioinformatics-"Multiple" Fellowship positions at University of Michigan
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Apply Now Job Summary The Transplant Surgery Research Fellow, supported by the University of Michigan Section of Transplantation and the UM Health Transplant Center, is a new position managed in
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fellow with strong expertise in bioinformatics and statistics to join our research team in the Departments of Ophthalmology, Cell & Developmental Biology, University of Michigan. Our research encompasses a
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, motivated early-career researcher interested in learning to collect, manage, analyze, and interpret data from multiple systems including mobile eye tracking, motion capture, and force plate posturography as
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research that together enhance our contribution to society. Job Summary The Najarian Lab in the Gilbert S. Omenn Department of Computational Medicine & Bioinformatics is seeking a Research Fellow to lead
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Qualifications* PhD in computational biology, bioinformatics, data science, or a related quantitative field. Proficiency in Python and/or R; experience with high-performance computing environments. Experience with
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research that together enhance our contribution to society. Job Summary The Au Lab in the Gilbert S. Omenn Department of Computational Medicine and Bioinformatics is seeking a Postdoc that will play a
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research that together enhance our contribution to society. Job Summary The Gilbert S. Omenn Department of Computational and Bioinformatics is seeking a Research Fellow in the laboratory of Dr. Naoki Masuda
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fragmented genomic data; Experience working with herbarium data; Strong bioinformatics skills; Strong biodiversity informatics skills; Knowledge of phylogenomics and population genetics; Knowledge of plant
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disinfection Analyze and interpret data Analyze key data trends, often by compiling data from multiple studies Data dissemination ~20% Attend conferences and workshops. Submit manuscripts for publication
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conditions and policy outcomes. Desired areas of expertise include: dynamic and complex systems, agent-based modeling, computer programming (familiarity with R, Python, Netlogo), statistical analysis