53 web-programmer-developer-"https:"-"UCL"-"U"-"P"-"St" "University of Kent" Postdoctoral positions at University of Washington
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efficiency. Develop and implement strategies to enhance program accessibility, engagement, and impact across the postdoctoral community. Data Management Maintain and reconcile postdoctoral data in Workday and
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internship program, and numerous post-doctoral clinical and research fellowships. Learn More: https://psychiatry.uw.edu/ Salary The base salary range for this position will be $5,705 to $6,000 per month
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to mental health and health disparities. The ideal candidate will have a record or promising evidence of a productive and innovative research program, independence in tackling issues relevant to alcohol and
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. The overarching mission of I-LABS is to understand the mechanisms of human learning, especially in early development. More information about I-LABS can be found at: (http://ilabs.washington.edu ). This I-LABS
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Position Details Position Description Dr. Juming Tang’s group at the University of Washington has launched a new research program focused on developing novel sensors and AI tools to enhance the transparency
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-time Postdoctoral Scholar position is available on an annual 12- month appointment in the Wang Lab at the Department of Pharmaceutics at the University of Washington (https://sop.washington.edu
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the formation of the isthmus of Panama and its impact on the evolution of plants in rivers). This collaborative project will integrate genomic, paleontological, and geological data to unveil how riverweeds
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agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website . General Duties: Lead the development and application of next
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contribute to forefront research at the Center for Nuclear Physics and Astrophysics (CENPA) in alignment with the NSAC 2023 Long Range Plan for Nuclear Science. The successful candidate will join a vibrant
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, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment