384 engineering-computation-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in United States
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related fields (Biochemistry, Microbiology, etc.), Computer Science, or Engineering (Biological, Mechanical, Chemical, etc.) by the start of employment, and have a track record of exceptional achievement in
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
in mentoring and shaping the lab's interdisciplinary culture. We Are Looking For Someone Who • Has a PhD in computational biology, microbiology, systems biology, engineering, physics, CS, or a related
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computational genomics of Alzheimer’s disease. The Sleegers lab is an international team committed to increasing insights into the complex genetics of Alzheimer’s disease and to investigating the translational
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Job Description We are recruiting highly motivated individuals, committed to clinical excellence, to join our growing Hospitalist Medicine Program as a member of the clinical faculty. The rapidly
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). This position is part of a larger cluster hire that includes the Mechanical Engineering Department, the Computer Science and Engineering Department, and the Ross School of Business; the goal of the cluster is to
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Job Description Collaborates with new and existing program partners to support research initiatives, including the collection, analysis, and interpretation of primary and secondary data to address
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Job Description The Research Program Coordinator is responsible for coordinating program management activities by performing tasks related to data tracking, analysis, and implementation of results
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not required; we're targeting talented software engineers who want to expand into the fields of bioinformatics and genomics (visit https://learngenomics.dev/ to learn more about genomics in
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Job Description SJCRH The St. Jude Affiliate Program is seeking a motivated and forward-thinking faculty member to serve as the program medical director. The St. Jude Affiliate Program is a network
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https