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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
-acid complexes. You will join the Delta team at Inria (Université de Lorraine), working closely with Dr. Yasaman Karami, expert in conformational dynamics, allostery, and deep learning for structural
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synthesised in situ using a state-of-the-art pulsed laser deposition system. Key characterisations include X-ray diffraction for structural properties and temperature-dependent magneto-optical properties
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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the hierarchical authority of Laurence Talini. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR125-LAUTAL-001/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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3d colloidal model system. Background information: https://paddyroyall.github.io/padrus/Work_amoeba.html Publications of interest : https://paddyroyall.github.io/padrus/Publications.html Systems in
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition
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to set up nationwide platforms for the accelerated design of metal alloys for structural applications. The recruited person will be responsible for implementing and implementing for research projects a high
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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capture the narrative structures specific to ancient corpora. [FR VERSION] Analyser et améliorer les capacités des LLMs à identifier des similarités narratives dans des documents historiques, malgré le