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and optimize specific functions. The ICMCB carries out fundamental research on model materials and/or materials with potential applications. The ICMCB is a UMR with an average of 280 agents (permanent
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. This position focuses on advancing research related to interstitial lung diseases (ILDs) and autoimmunity, with a particular emphasis on systemic sclerosis (SSc) and related fibrotic manifestations, idiopathic
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 14 days ago
APIs and shared memory structures. The work will involve: Selecting representative drivers and the kernel APIs they rely on. Defining memory safety properties relevant to these drivers (e.g., correct use
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exciton transport to the reaction center or to a donor-acceptor interface, respectively. Characterizing, modeling and improving exciton transport properties in molecular materials remain essential tasks in
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 4 days ago
. This position focuses on advancing research related to interstitial lung diseases (ILDs) and autoimmunity, with a particular emphasis on systemic sclerosis (SSc) and related fibrotic manifestations, idiopathic
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Doctoral Network aiming to train 15 PhD researchers in the efficient and clean use of renewable synthetic fuels. Candidates will develop advanced skills in combustion science, chemical kinetics, and digital
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. The program's key objectives include advancing the capabilities of ingestible devices by addressing current technical limitations, with a focus on improving diagnostic accuracy, reducing the need for additional
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computational research. In particular: • A high-quality imaging platform • A dedicated biocomputing hub that guarantees reliable data storage, management, and advanced analytical capacity. Our laboratory is
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-catalogues and genome collections, along with internal omics data, will be analyzed using advanced AI-based protein structure prediction tools to identify aggregation-prone regions in proteins and to develop a