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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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, with a strong interest or expertise in photophysics -knowledge of fluorescence microscopy -experience in single-molecule imaging, including data acquisition and analysis -familiarity with biological
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should hold a PhD in chemistry, materials science, or a related field, with a strong background in photocatalysis and (nano)materials chemistry. Good knowledge of English and scientific communication
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7 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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members focused on developing fundamental knowledge in physico-chemistry, analytical chemistry, and microbiology. This research relates to applications in life sciences, environmental management, and the
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and erosion for 60 years. One of the main objectives is to acquire fundamental knowledge about the processes controlling environmental risks related to the dynamics of metal contaminants (speciation
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. Proficiency in HPLC required. Knowledge of cell biology and cytoskeleton. Drafting and executing experimental protocols. Organization and traceability. Ability to work independently. English level B1. Website
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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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). - Candidates must demonstrate an interest in biology and/or medicine. - Knowledge of cell biology is essential. - Candidates must be fluent in English. Additional comments Applications must include: - A cover
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25 Jan 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First