51 parallel-processing-bioinformatics Fellowship research jobs 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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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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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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animal handling, and bioinformatics capabilities within our lab, with applications focused on biodiversity conservation but also spanning human health. Responsibilities* The candidate will join a
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platform, including new modules for DIA mass spectrometry data analysis. The successful candidate will also participate in collaborative studies. The ideal candidate will hold a Ph.D. in bioinformatics or a
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isolation and genotyping via bioinformatics pipelines. There will also be the potential to develop additional projects building on the strengths, interests, and expertise of the successful candidate
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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