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). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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JET2SB team (PIs, postdocs and PhDs) from the Laboratoire de Physique des Plasmas (LPP, Paris, France) and the THEMIS team at the French-Spanish Laboratory for Astrophysics in Canarias (FSLAC, La Laguna
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conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global
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the impact of collective effects in high space-charge regimes. The Accelerators and Ion Sources Pole of LPSC is involved in the design, construction, and operation of the PERLE machine, particularly in
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correlations. - Analyse experimental data mixing both quantum optics and solid-state physics phenomena - Supervise PhD students and interns - Ensure an efficient collaboration and information sharing with
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Research FieldPhysicsYears of Research Experience1 - 4 Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Eligibility criteria # Qualifications and Skills: Holder of a PhD in
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to CERN, or the other way around. Supervision of PhD and Master students could be arranged. LAPP is a laboratory of the Institute of Nuclear Physics and Particle Physics (IN2P3), an institute
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and optimize their properties for neuromorphic computing through combined electrical and MOKE measurements, and train them to achieve artificial intelligence tasks. - Micromagnetic simulations - machine
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FieldAnthropologyYears of Research Experience1 - 4 Research FieldEnvironmental scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in human population genetics, functional genomics