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biological data is preferred but not required. The postdoctoral scholar will be part of a rich collaborative environment with excellence in the areas of public health informatics in the School of Public Health
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. Minimum Education and/or Training: A Ph.D. in computational chemistry, structural biology, bioinformatics, computer science, pharmaceutical sciences, or a closely related field. Candidates with significant
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Job Description The University of Tennessee Health Science Center Department of Pediatrics Research seeks a highly motivated and innovative Postdoctoral Scholar. This position offers a unique
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on the novel application of formalisms, algorithms, and computational methods from computer science to the modeling of microbial communities, for use in health science. We aim to expand these methods and their
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on the function of the human body and disease mechanisms, thereby contributing to improved human health. IMM hosts an interdisciplinary group of experts in cancer biology and neurobiology and is in close proximity
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the aim of developing innovative strategies to improve human health. HT is composed of five Centres: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centres
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outstanding postdoctoral researchers in the fields of Physics, Chemistry, Mathematics, Computer Science, Earth Science and the Life Sciences. This collaborative program offers a comprehensive four-year position
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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Bioinformatics, Molecular Biology, Biochemistry, Computer Science, or related field Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent). Applicants
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, user-friendly software tools for the community. Publish results in top peer-reviewed journals and conferences. Qualifications Required: Ph.D. (obtained or expected) in a quantitative discipline: Computer Science