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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria We are looking for a colleague with a PhD in particle physics. Experience with machine learning and/or experience with
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molecular dynamics simulations with LAMMPS, and data curation. Scientific context: Our current understanding of polymer viscoelasticity is founded on single-chain models [2]. Such models draw on the fact
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on solubility, dissolution kinetics, and microbial influences. Your work will refine global carbon cycle models, enhance CO₂ sequestration understanding, and position you at the forefront of ocean
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for human and mouse neural organoids - Present and discuss data within the Cell-ID consortium (PEPR) - Opportunities to supervize students The position is available within the “Neurodevelopment in mammals
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of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as
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Additional Information Eligibility criteria -PhD in atomic and molecular physics, chemical physics, or quantum chemistry. -Strong experience in numerical methods, electronic structure theory, and/or time
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criteria - PhD in linguistics, cognitive science or related discipline (equivalent degree to be discussed) - Experience with EMA or other articulatory data acquisition systems (collection and analysis
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28 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire Carnot de Bourgogne Research Field Engineering Physics Technology Researcher Profile First Stage
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Additional Information Eligibility criteria ● A relevant PhD degree in semiconductor physics, material sciences, or similar. ● Hands-on experience with III-V semiconductor deposition processes (e.g. MOCVD, MBE
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synchrotron measurement campaigns in France and abroad; • Analysis and interpretation of data in connection with theoretical models; • Writing of reports, scientific publications, and presentations