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creativity, innovation and accuracy within work. • Excellent written and oral communication skills in English The application should include: • CV • Copy of the master diploma with ranking and marks • A
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strong background in numerical methods applied to solid mechanics; good knowledge of materials science and experimental characterization techniques; excellent written and spoken English skills. Experience
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, preferably in the field of refractories and/or ceramics. A specific skill in thermo-mechanics would be appreciated. Oral and written communication skills (in the English language) are mandatory. Where to apply
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and measurements (thorough knowledge); - Spectroscopy (fluorescence and colorimetry) (thorough knowledge); - Air Pollution; - English language: minimum level B1 (European framework) Knowledge
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learning, particularly flow-matching generative models and protein language models. The research will focus on designing efficient generative models able to produce realistic conformational ensembles while
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skills: o Knowledge of plasma physics, laser physics, laser-matter interaction o Proficiency in scientific programming languages (Python required, C/C++ appreciated) o Skills in data processing, physical
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should also have a good knowledge of materials science and experimental characterization techniques. Experience with ceramic materials will be appreciated. Excellent written and spoken English skills
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, if possible with a focus on modelling/numerical simulations. • A good level of Python programming is required. • A level of scientific English sufficient to conduct research and build international
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scheduled by June 2026. • Modalities: - All applications must be sent in French AND in English - Please, apply through the CNRS dedicated gate AND send the documents required at: [email protected]
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project, funded by the CONNECT-NM program. The student must have a strong background in chemistry, physical chemistry, or materials science. A good level of French and English is essential. Where to apply