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Field
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Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
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– from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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of the relevant fields (e.g. Plant Pathology, Mycology, Microbiology, Population genetics, Genomics, Bioinformatics or related science). Preferred Qualifications: Strong background in fungal biology & genetics
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computational science and/or biomedical informatics and/or data science, bioinformatics and computational biology. Required License/Registration/Certification None Job Summary The Division of Biomedical
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collaborative team performs high-impact studies that allow them to develop new strategies to ameliorate dysbiosis and neuroinflammation and reduce chronic disease burden. Key Responsibilities: Bioinformatics
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ties with world-class biostatistics, bioinformatics, clinical informatics, statistical genetics, and health IT groups at UC, CCHMC, and UC Health. This environment provides rich collaborative
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Dir of the Ctr for Diagnostics, Design, Devices, & Biomechanics & Assoc/Full Prof of Biomedical Engr
emphasis areas include Biodevices, Biomolecular Engineering, Bioinformatics, and pre-med/pre-dental. Faculty within the Department of Biomedical Engineering actively collaborate on interdisciplinary projects
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years related education/experience) Required Experience 3 years If any experience is required, please specify what kind of experience: Experience in bioinformatics and/or programming to include
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Computer Science, Data Science & Analytics, Cybersecurity, and Health Informatics & BioInformatics. The College of Computing has over 50 full-time faculty, 1100 undergraduate majors and 400 students in our graduate
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experience in conducting WGS and phylogenetic analysis, and a strong background in bioinformatics, genetics, and epidemiology. The successful candidate should be proficient in relevant software and programming