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on secure and trustworthy data sharing. The development and refinement of maritime AI models depend on access to large amounts of high-quality operational data. However, data sharing across organisational and
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below 2 tonnes CO2e/tonne of aluminium as a supplied component and eventually to Net Zero carbon. This project is concerned with development of high strength aluminium alloys designed to provide better
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carried out under high voltage at LAAS to demonstrate the advantages of these new devices. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7073-MICPEF-095/Candidater.aspx Requirements
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Footprint (PEF) regulations at European level, including the development of PEF Category Rules (PEFCR) for space. About the host organization Technische Universität Dresden (TUD) is one of the largest
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, ProcédésCountryFranceCityST MARTIN D HERES Contact City ST MARTIN D HERES Website http://simap.grenoble-inp.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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accomplish critical functions in inter-cellular communication, controlling tissue development, homeostasis and repair, inflammatory and immune responses, neuronal connectivity, and symbiosis with bacteria