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in English A background in physics or computational chemistry, and an interest in machine learning and molecular simulation A collaborative mindset and the interest and ability to work in multi
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18 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other
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course. Selection process The applications must include the following documents: Application form available on the internet page for this competition at https://www.ipc.pt/sobre/rh/a-decorrer-bolseiros
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Framework Programme? Not funded by a EU programme Reference Number 173095 Is the Job related to staff position within a Research Infrastructure? No Offer Description CASTRO aims to develop wireless signal
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State research institute Center for Physical Sciences and Technology | Lithuania | about 2 hours ago
27 Mar 2026 Job Information Organisation/Company State research institute Center for Physical Sciences and Technology Department Department of Organic Chemistry Research Field Chemistry Researcher
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25 Mar 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Mechanical engineering Engineering » Other Physics » Applied physics Physics » Optics
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3 Mar 2026 Job Information Organisation/Company INFN - Istituto Nazionale di Fisica Nucleare Research Field Physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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and Critical Care Medicine Simulation Fellowship is a two-year program designed to provide fellows opportunities to cultivate the skills necessary to become leaders in veterinary simulation education
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, Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensing , Quantum Sensors , Quantum Simulation , Quantum Technology , Quantum Transport , Quantum transport in
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 18 days ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project