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are interested in interdisciplinary research across electrical engineering / electromagnetism, numerical methods, numerical mathematics, high-performance computing, and computational science. Time permitting, we
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28 Aug 2025 Job Information Organisation/Company CNRS Department Institut d'électronique et des technologies du numérique Research Field Engineering Physics Technology Researcher Profile First Stage
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Join an interdisciplinary team that brings state-of-the-art AI
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://www.academictransfer.com/en/jobs/354473/phd-on-computational-modelling-… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in Chemical Engineering, Physics, Mechanical Engineering, or
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: A completed university degree (Master’s or equivalent) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including
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chemistry, materials science or equivalent having carried out research in an experimental field related to the thesis. Core competencies: crystal growth thermodynamic modeling chemical and physical
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Helmholtz-Zentrum Berlin für Materialien und Energie | Berlin, Berlin | Germany | about 18 hours ago
journals Writing project proposals and acquiring new third-party funded projects Your Profile Completed master's degree in materials science, chemistry, physics, engineering or a related field In-depth
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» Nanotechnology Researcher Profile First Stage Researcher (R1) Country Switzerland Application Deadline 25 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded
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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply
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facilitate data sharing among actors involved in a new circular flow of flat glass. Within the project, two PhD students, one at the Department of Computer and Information Science (with computer science