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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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3 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Country
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candidates holding a PhD degree in Computer Engineering, Data Science, Computer Science, Electrical Engineering with a strong computational background, or related scientific areas. Proven research experience
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Languages and Systems Department: Computer Languages and Systems Research Profile: Empirical Software Engineering, the human factor, and educational innovation in Software Engineering Language requirement
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- Friday 8:00am to 5:00pm Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under
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application form. https://apply.refline.ch/673277/1335/index.html?lang=en Company Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute
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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 dine på nettsiden, slik at vi
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 2 months ago
about structural/molecular biology, protein biophysics, generative models, software engineering, or a related subject # Previous experience or interest in Generative Modelling, Protein Folding/Design, and
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for the project. The research will primarily involve physical modelling of Li-ion batteries through finite element methods. Requirements: PhD degree in chemistry, physics, materials science or engineering, or a
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge