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Eligibility criteria The candidate must have a PhD degree in physics (atomic, particle, hadronic or nuclear) with a strong focus on theory. The project requires sound knowledge in theoretical physics, computing
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of Research Experience1 - 4 Research FieldPhysicsYears of Research Experience1 - 4 Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Eligibility criteria Theoretical knowledge
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24 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique théorique Research Field Neurosciences Psychological sciences » Cognitive science Psychological sciences
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Preference will be given to candidates with expertise in cosmology. Knowledge of the science involved in modelling the cosmic microwave background and associated astrophysical foregrounds is required
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of molecular networks • Have knowledge of molecular networking (Molecular Network (MN) and Feature Based Molecular Networking (FBMN)) and similarity algorithms: ie, Cosine score • Master the English language
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photodetectors; - In-depth knowledge of ionizing particle detection technologies, particularly using organic and inorganic scintillators, as well as light detection devices such as SiPMs; - Strong skills in
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LanguagesFRENCHLevelBasic Research FieldChemistryYears of Research Experience1 - 4 Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria She/he must have solid knowledge
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with surface science. Experience with molecular dynamics simulations and at least basic knowledge of machine-learning approaches for atomistic modeling are highly desirable. Skills in Python and
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Eligibility criteria - The successful candidate must hold a PhD in biology and have experience in molecular and cellular biology, cell culture, and microscopy. - Scientific knowledge, scientific rigor
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Experience4 - 10 Additional Information Eligibility criteria - Strong knowledge of materials physics and chemistry, particularly X-ray spectroscopy applied to Earth sciences. - Strong knowledge of materials