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homologous recombination and its intersection with the spatial organization of chromatin in the nucleus. They use high-throughput genomics approaches in the model organism S. cerevisiae. They are looking for a
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the global mid-ocean ridge system will be used to calibrate and evaluate the models. This work will inform our understanding of the typical magnitude and recurrence times of magmatic seafloor spreading events
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well as investigating the role of non-local correlations in the quantitative prediction of satellites positions and pole strengths. The successful candidate will participate in numerical research and scientific code
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ocean physics. In addition, the candidate must be able to work as part of a team on multidisciplinary projects. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5001-ELSGEN-042
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, water treatment, etc.). The postdoctoral fellow will be part of the Multiscale Modeling and Experiments team and will conduct their research as part of the PostGenAI@Paris project, in collaboration with
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researcher will join the bioinformatics team at the MMSB Laboratory (UMR 5086; MOMS team). Responsibilities: (1) computer simulations as part of the SELDOM project, focusing on interactions between lipids and
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intramolecular vibrational Stark effects in order to characterize them and use them for conformational assignment purposes. This original study will mainly consist of performing gas-phase IR laser spectroscopy
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Description The person hired for this position will work within the context of the French Océan et Climat program, particularly in the AI data challenges part of the project https://www.ocean-climat.fr/Le-PPR
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will be conducted under the supervision of Jean-Arthur Olive. This research is part of ERC project SeaSALT (Seafloor Spreading on Short And Long time scales, PI: J.-A. Olive), which will involve a team
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beamline at the ESRF. The analysis and interpretation of the acquired data will require solid proficiency with the various code bases developed on the beamline. The candidate will be trained in the use