853 data-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" Postdoctoral positions in United States
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Field
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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. The appointment will be for two years, pending satisfactory performance in annual reviews. For more information, prospective applicants are welcome to contact Prof. Chanda Prescod-Weinstein at chanda.prescod
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of Medicine Benefits Eligible Postdoctoral Fellows may be eligible to receive certain UNM benefits . See the Benefits home page for more information. Position Summary The Department of Anesthesiology and
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The postdoctoral associate will focus on data collection and management of clinical projects on aortic disease research. The ideal candidate
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publication of tracking data on Arctic shorebirds (tagged at Utqiaǵvik, Alaska and in Iowa) and a long-term dataset on Mountain Plovers in Montana (1995 to present); other bird/wildlife datasets will be
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-EM sample preparation, data collection, and high-resolution structure determination • Process and refine complex cryo-EM datasets using strong computational skills (RELION, cryoSPARC, etc.) • Conduct
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Medicine
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negotiable; the position has a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data sciences with software
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collects physiologic and biologic data in extreme environments and utilizes this data to develop novel prediction algorithms of acute mountain sickness, heat exhaustion, cold injury, and other environmental