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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
Status Full-time Hours Per Week 35 Offer Starting Date 23 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI/FCT_Proj2025/i3S
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diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility
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et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
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of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key
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exposed to laser-accelerated intense proton beams. Primarily, the tasks are to be done by means of analytical calculations and high-performance computing simulations in a strong link with the industrial
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considerations, with particular emphasis on distributional effects, justice, and participatory methods; Policy analysis at the local, state, and federal levels Key Responsibilities: Collaborate with faculty
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9th April 2026 Languages English Norsk Bokmål English English Postdoctoral Fellow in Computational Materials Science Apply for this job See advertisement Job description The University of Stavanger
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liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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skills (Python preferred), with familiarity in GPU or distributed computing environments. • Experience with biomedical or neuroimaging data is advantageous but not required. • Excellent analytical, writing
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of Informatics and is hosted jointly by the Network and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full- and part-time