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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project aims at developing physically consistent digital twins and immersive
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(Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 38h30 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme? Not funded by
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collaborations, interact with members at APCTP and partner institutes, and pursue independent research projects. ᆞRequirements: A PhD in theoretical/computational magnetism, condensed matter physics, or a closely
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
experiential learning that prepares students for real-world nursing practice. * Program Oversight: Oversee, enhance, and expand simulation-based education and experiential learning opportunities for nursing
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, computational condensed matter physics, or a related discipline, and relevant experience in the following: Expertise in RIXS theoretical modeling and computational analysis of a wide range of quantum materials
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the following: clinical skills labs, simulation environments, technical laboratory settings, educational program coordinator, healthcare operations, or training/learning environment support. Ability
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26 Mar 2026 Job Information Organisation/Company University College Dublin Research Field Physics » Quantum mechanics Physics » Relativity Researcher Profile Recognised Researcher (R2) Application
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, technologies, and applications. Minimum one year experience with computer hardware equipment and software applications relevant to medical simulations. Experience with medical terminology
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 18 minutes ago
28 Mar 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile First Stage
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation