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cohésion macroscopique dans des assemblages de grains non convexes — enchevêtrés et imbriqués — sans aucune interaction adhésive. Ces matériaux métagranulaires peuvent former des structures autoportantes et
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activities between IETR and the French space agency CNES (https://cnes.fr ). This interdisciplinary project will be carried out at IETR – UMR CNRS 6164 (http://www.ietr.fr ) and it will strongly involve two
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description FR: Les études sur la structure des noyaux visent à comprendre comment les
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 2 months ago
objective of this PhD is to develop a bioporosity reference framework, defined as a typology of structural profiles built from 3D metrics describing biopore volume and shape. The central hypothesis is that
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the University Hospitals and the Faculty of Medicine. The campus also hosts the Institute of Functional Genomics (IGF) and the Center for Structural Biology (CBS), covering over 15,000 m2 of research space and
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: (i) architecture and dynamics of cellular structures and associated pathologies; (ii) processing of genetic information and its dysfunctions; (iii) host-microbe interactions: infectious diseases and
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the field of cardiac electrophysiology. It is structured as a Scientific Cooperation Foundation, under the aegis of the Bordeaux University Foundation, and was established by ministerial decree on November
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, or environmental history Experience with structured data environments or digital humanities infrastructure Language Requirements: Applicants must demonstrate at least B2-level proficiency in
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strategies will serve as benchmarks to be embedded in highly-compact circuits. b) Networks will be initialized based on standard artificial network structures, such as fully connected feedforward or recurrent
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will be supervised by Christophe Eloy (IRPHE, Centrale Méditerranée), whose work spans fluid-structure interactions and reinforcement learning, Laetitia Giraldi (Calisto, INRIA), an expert in