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, and Monte Carlo simulations. Additionally, participation in the phenomenological activities in collaboration with LHC experimentalists is anticipated. Where to apply E-mail jobs@ifj.edu.pl Requirements
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modeling - experience in QCD phenomenology - experience in perturbative calculations Specific Requirements Applications: Candidates are asked to send their applications within January 16th, 2026 with
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apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular dynamics (MD) simulations
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leave the human supervisor with enough time to react and intervene efficiently when needed. Close cooperation is expected with the other Post Doc and PhDs in the interdisciplinary project. Your immediate
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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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leave the human supervisor with enough time to react and intervene efficiently when needed. Close cooperation is expected with the other Post Doc and PhDs in the interdisciplinary project. Your immediate
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of reports and scientific publications Co‑supervising students working on data science and computational modeling tasks 8. The applicants might be national, foreign and stateless candidates holding a doctor
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also linked to a broad, interdisciplinary network of researchers in several European countries and in the United States, particularly within experimental studies using cell and animal models, with
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particular: Investigation of reaction mechanismus using density functional theory and statistical thermodynamics Kinetic modeling using mean-field models and transition state theory Conducting MD simulations
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of these phenomena, and how they affect the performance and operation of cells, using advanced mathematical modelling in the open-source simulation platform OpenFOAM. The main supervisor of the candidate will be Prof