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innovation, organizational skills, and communication skills. The candidate must hold a PhD and have experience at the interface between chemistry and biology. • Proficiency in chemical synthesis (organic and
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the quality of working relationships. The project is part of a larger project (ANR NaturaLDH) focusing on the alteration of mantle rocks. The project also includes a PhD student with whom the postdoctoral
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defended a PhD in enzymatic catalysis between 2024 and 2026. Ideally, the researcher will have experience in handling enzyme assays and in analyzing mixtures of organic molecules by liquid and gas
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 9 hours ago
taxes) Selection process Please include the following information in your application: CV with list of publications (indicate the date of your PhD defence) letter of motivation letter of recommendation if
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Additional Information Eligibility criteria A PhD in developmental biology, ecotoxicology, endocrinology, or a related field is required. Solid experience in vertebrate developmental biology, as well as a
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Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria The researcher will have defended a PhD in heterogeneous catalysis between 2024 and 2026. Ideally
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candidate should be highly motivated to work on a novel interdisciplinary project bridging chemistry and biology. Qualifications and experience: 1) PhD in Chemical Biology or Organic Chemistry. 2) Strong
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Minimum education and/or experience required: PhD obtained less than 3 years before date of hire in Physics, preferably in condensed matter Essential skills, knowledge and experience: Strong background in
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at conferences; Supervise and mentor Master's students or PhD candidates involved in the project; Contribute to the scientific dissemination and valorization of the research (papers, patents, presentations
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
latent spaces). Integrate dynamic, geometric, and biophysical features extracted from large MD simulations. Train and benchmark models on state-of-the-art datasets. Collaborate with PhD and Master students