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Field
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institution is its access to high-performance computing infrastructure, which is essential for large-scale numerical simulations. Researchers on the OPERA team regularly participate in collaborative projects
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collaboration between the Division of Scientific Computing and the Department of Physics and Astronomy, where new methodology for simulation-based inference is developed and applied directly in realistic collider
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and scientific computing. High-performance computing, parallel computing, or large-scale simulation. Software engineering practices, version control, and automated testing. EMT simulation, power system
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for implementing computational models, simulations, and numerical experiments is desirable. Diversity Committed to equality and valuing diversity Application Process You will be required to upload a covering letter
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(Europe/Warsaw) Country Poland Type of Contract Permanent Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI-driven, physics
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engineering, process engineering or a closely related field, demonstrated through publications. Experience of mass balances, flow simulation or separation and recovery techniques (e.g. distillation, membranes
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including CV, list of publications, statement of research interests and future plans (2 pages), a copy of the Ph.D. diploma, and the DGPD declaration [https://www.camk.edu.pl/media/uploads_current
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to represent PVD-functionalized electrodes without unnecessarily increasing computational cost. The work will combine fundamental modelling, numerical simulation and experimental validation, with a strong