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Field
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. This project proposes the development of a new CFD simulator for offshore renewable energy applications based on physics-informed deep learning that offers greater efficiency and robustness. This is a unique and
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project description Applications are invited for a three-year PhD position in Physical AI at Aarhus University's Department of Electrical and Computer Engineering. The candidate will join the Adaptive
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with experimental nuclear physics, with the support of competent and
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within the M2i framework Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate
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Date 1 Dec 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number TIDECOM Is the Job related to staff position within a Research Infrastructure
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17 Sep 2026 Job Information Organisation/Company Theory of Nanophotonics group Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline 21 Sep 2026 - 23:00 (UTC
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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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or equivalent Skills/Qualifications Hold a BSc/MSc in Chemistry, Physics or Nanoscience and fulfil the requirements to be admitted into Química Teòrica i Modelització Computacional PhD program at the Universitat
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-performance computing approaches for EMT simulation. Create automated workflows for large-scale stability assessment and contingency screening. Identify and analyse converter-driven stability phenomena
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simulation models in MATLAB/Simulink and PLECS, particularly models of power semiconductor converters; • proficiency in written and spoken English. Selection process • copies of educational qualifications