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predictive models of immune responses. Develop advanced and innovative machine learning methodologies and analyze data. The postdoctoral researcher will join the groups of T. Mora and A. Walczak, whose
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, the proteolytic mechanisms involved in dental pulp inflammation, particularly in various 2D/3D models. The postdoctoral researcher will produce bioactive protein fragments and characterise their roles in dental
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models, convective theories and the analysis of observations - Good knowledge of the state of the art in cloud feedbacks and cloud-climate interactions - Skills in the writing of scientific articles and in
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Proficiency with the gastruloid model Proficiency in English (B1 level) Ability to work in a team while respecting individual differences Experience supervising PhD students Scientific curiosity and motivation
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(pure and metal-doped) and carbon chains in supernova ejecta. • Apply molecular dynamics (MD) methods to simulate the formation of alumina agglomerates. • Use ab initio wave function methods to model
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biomass. The postdoctoral researcher at CERMAV will: • Characterize the topochemistry of the action of these enzyme mimics on model compounds and under real-world conditions. • Develop new functional
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. This project aims at modeling the planetary systems and magnetic topologies of M dwarfs, monitored with the SPIRou near-infrared spectropolarimeter at the Canada-France-Hawaii Telescope (CFHT) since 2019 in
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and abroad; • Analysis and interpretation of data in connection with theoretical models; • Writing of reports, scientific publications, and presentations at international conferences; • Contribution
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reproducible research and to mentoring students. Research Environment and Supervision: The postdoc will be a member of the Astroparticle and Cosmology group at LAPTh, and will be supervised by Dr. Francesca
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activity focuses on understanding the scalar sector of the Standard Model by considering both the Higgs boson and Nambu-Goldstone states. The selected candidate will be able to contribute, in particular