983 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL" Postdoctoral positions in United States
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Virus (EBV) and HIV-1 infection dynamics in human lymphoid tissue. This postdoctoral associate will collaborate with experimentalists to utilize EBV and HIV-1 infection data together with multiscale ABM
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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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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 - Molecular Medicine
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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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, such as differential gene expression. -Perform various molecular biology experiments to validate the results obtained through bioinformatics. -Evaluate data and summarize results for preparation in peer
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Posting Details Position Information Posting Number PG191590PD Position Number 00111742 Position Type Post Doc FLSA Exempt Departmental Information Department ID 178501 - Statistics Department
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data processing and interpretation workflows. The appointee will also pursue a collaborative science program leveraging the developing instrument capabilities, leading to peer-reviewed publications and
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transport measurements for prototyping facility partners/customers as well as research activites, including designing thermal test vehicles for customer-focused measurements, analyzing research data, and
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inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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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