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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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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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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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of the ANR Lamorsim project (https://anr.fr/Project-ANR-23-CE08-0029 ). The main objective of this project is to develop methodologies for achieving controlled laser-induced amorphization of silicon. In this
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(exceptional points, bound states in the continuum, etc.). He/She will in charge of the design of the corresponding photonic structures. To this end, he/she will conduct design/simulation campaigns using not
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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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(reproduction, firing, documentation); • Contribute to the development, updating, and long-term structuring of an interactive ceramic database throughout the project; • Take part in field surveys aimed
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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