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within the SAMS Research Group (http://sams.ics-cnrs.unistra.fr/en/ ). PROJECT DESCRIPTION: The post-doctoral researcher will show that by integrating molecular motors into supramolecular self-assemblies
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Communauté d’universités et établissements de Toulouse | Toulouse, Midi Pyrenees | France | 8 days ago
Fellows conduct an independent research project hosted by an eligible Toulouse unit, with structured supervision, a Career Development Plan and advanced training (scientific & transferable skills). Key
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neuroimaging data constrained by patient's structural connectivity and tractography • Using the results of the TVB model fits to stratify patients and predict disease progression • Organizing and unifying
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of contributions to the international ePIC (electron Proton-Ion Collider experiment) collaboration associated with the construction of the future Electron-Ion Collider (EIC, Brookhaven National Laboratory -BNL, New
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properties. Confocal microscopy / microfluidics / microrheology, to link the structural remodeling of the gel to the reaction kinetics occurring within the material. The identified gelation and structuring
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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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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
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Study the structural, electronic and optical properties of defects (point or stack
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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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the flexibility and power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plants and human phenotypes. These models will