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knowledge: - In-depth knowledge of synthetic organic chemistry, catalysis - General knowledge of chemical purification methods (extraction, chromatography (flash, HPLC), distillation, etc.) - General
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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 Research Experience1 - 4 Additional Information Eligibility criteria Main skills: • Expertise in neuroscience, cellular and molecular biology, and metabolic analyses. • Knowledge of neuro-oncology would be
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performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
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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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Information Eligibility criteria Knowledge Requirements: The candidate (M/F) must have a strong background in advanced quantum mechanics, with a PhD in theoretical physics. A solid understanding of quantum
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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
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LanguagesFRENCHLevelBasic Research FieldComputer scienceYears of Research ExperienceNone Research FieldMathematics » AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria Knowledge: - In
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Eligibility criteria - Deep knowledge of instrumentation and elementary particle detection - Proficiency in simulation tools (Gantt4 and CST) - Proficiency in programming languages (C++, Pyrhon) - Knowledge