363 computer-security-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Nature Careers in United States
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SJCRH Be the force behind the cures. From analyzing complex biomedical data in pediatric cancer to creating innovative technologies and computational tools, your work at St. Jude can directly impact
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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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Ragon Institute of MGH, MIT and Harvard and the Department of Immunology Harvard Medical School Faculty Position: Computational Immunologist The Ragon Institute of Massachusetts General Hospital
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Reporting to the Deputy Director for Integrated Security Missions, this executive
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Structural Biology Core Centers and High Performance Computing. Liaison between end user and support teams outside of the department including Information Services, Information Security, Laboratory
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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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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
Job Description We are seeking an interdisciplinary postdoctoral researcher to join our lab at St. Jude Children's Research Hospital to develop new experimental-computational approaches for studying
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Quality and Safety teams to support oversight of the Affiliate Program Serve as a liaison between St. Jude and the Affiliate site leadership Serve on the Affiliate Program Triad team, Huntsville Steering
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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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. 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