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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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FieldAnthropologyYears of Research Experience1 - 4 Research FieldEnvironmental scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in human population genetics, functional genomics
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e.g., ultra-cold gases of bosonic or fermionic atoms, machine learning technologies and quantum computing. At the same time, we work in close connection with IJCLab experimentalists, particularly
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manual gestures). The SyncoGest project (2025–2030) is an interdisciplinary project conducted jointly by computer scientists (Loria – University of Lorraine / Inria / CNRS), linguists (Praxiling – Paul
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or by car (parking available). Public transportation costs are partially covered. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7104-MARMEN-001/Default.aspx Requirements Research
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Strasbourg. The unit comprises 12 research teams, 3 platforms, and 3 technical units, employing 80 staff, including 46 researchers/lecturers/engineers and 34 PhD students and postdoctoral researchers. LIMA's
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researcher will work under supervision of Aurélien MARTENS in the ILE group of Accelerator pole and in close collaboration with a PhD student at IJCLab, and external collaborators.. References: N.Yu. Muchnoi
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Postdoctoral Opportunity in Molecular Biology to Model the Progression of Rheumatoid Arthritis (M/F)
for spatial mapping assays. The SysFate team, led by Marco Antonio MENDOZA (PhD/HDR; permanent CNRS researcher), focuses on understanding cell fate decisions through the reorganization of complex gene
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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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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