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Reference Number AE2025-0526 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0526.pdf CALL FOR
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seeking to recruit one post-doctoral researcher. Job Description The candidate will participate in the R&D activities of FORTH-IESL within the COLOURS project, working on the development of algorithms and
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» Algorithms Mathematics » Computational mathematics Mathematics » Mathematical logic Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 16 Feb 2026 - 22:59 (UTC) Type
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integrated into the educational project of a higher education institution, developed in association or cooperation with one or more R&D units.” (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). 4
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Science Beamline (P61A/WINE), the lmaging Beamline (P05/IBL), and the Nanofocus Endstation of Micro? and Nanofocus X-ray Scattering Beamline (P03/MINAXS), along with supporting laboratories (https
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University of California San Francisco | San Francisco, California | United States | about 2 months ago
including machine learning/deep learning algorithms, and collaboration with other members of the lab and affiliated groups. They will support administrative tasks on the team and work closely with other lab
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Framework Programme? European Union / Next Generation EU Reference Number 165526 Is the Job related to staff position within a Research Infrastructure? No Offer Description Analysis and design of algorithms
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and cellular analysis of the ischemic brain using spatial and single-cell transcriptomics Profile of the graduate The graduate understands key areas of informatics, such as algorithms and software
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strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. The applicant should furthermore
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. Examples of research might include (but are in no way limited to) understanding the impact of algorithmic recommendations on political discourse; exploring how AI and machine learning can support new models