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4 Sep 2025 Job Information Organisation/Company National Institute for Materials Science Research Field Physics Astronomy Geosciences Chemistry Mathematics Researcher Profile Recognised Researcher
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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Graduation in the area of Computational Chemistry, Material Science, Chemistry, Artificial Intelligence or Physics within 3 years; Have strong research and innovation abilities, and be able to engage in full
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We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some...
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Matter and Statistical Physics Applied Physics Materials Physics quantum statistical physics Quantum Optics Quantum Condensed Matter Theory Quantum Information Science Appl Deadline: 2025/10/10 11:59PM
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12 Sep 2025 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Engineering Engineering » Materials engineering Researcher Profile Recognised
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization