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Researcher (R3) Country Morocco Application Deadline 10 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
to contribute to innovative projects at the forefront of healthcare delivery improvement, leveraging Large Language Models (LLMs) and clinical data analysis. About the Position Our Postdoctoral Research Program
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Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review
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research programs run as start-ups. OCP group (http://www.ocpgroup.ma/en/home ), a world leader in fertilizer production, is a major starter client for the University providing capital and research funds. In
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. Participates in the UMN PDA: post-doc program activities: presentation and preparation of data into figures, written project updates, oral presentations (including lab meetings, post doc seminars, and
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of the 3D Biology research programme at the Radboud university medical center. You will also collaborate closely with scientists at HUB Organoids who are running parallel programmes and with researchers
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number AJ/30/2025 Is the Job related to staff position within a Research Infrastructure? No Offer Description Ref
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This post-doctorate is part of the ANR DEEP-SENS (Demystifying
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration