2,849 computer-science-intern "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions in United States
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Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents
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analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational
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. The Department of Algebra, where the position will be hosted, offers an open-minded international environment with outstanding conditions for independent research. We currently have about 15 permanent and 15
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required. Additional beneficial but optional skills include programming, computation, and data analysis. TO APPLY - Click on this link: https://academicjobsonline.org/ajo/jobs/31738 Applicants should submit
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, Chemistry, or Computer Science). Applications must be submitted online at https://www.princeton.edu/acad-positions/position/40121 Please include a CV, cover letter, a brief (1-2 page) statement of research
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at more senior ranks may have multi-year appointments. Essential Qualifications: PhD in a relevant field. Interested applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40601
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 16 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 06-Mar-26 Location: Chapel Hill, North Carolina Internal Number: 297899 Vacancy ID: PDS004477 Position Summary
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Departments and Centers: Pediatrics, Endocrinology and Diabetes Postdoc Appointment Term: One year with the opportunity to renew Appointment Start Date: 05/01/2026 Group or Departmental Website: https
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, biostatistics, computational biology, or a related field. A strong computational background and expertise in dealing with large datasets, including multi-omics and ideally CGM. Prior experience in machine
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced