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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 Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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weapons of war are nerve agents (Sarin gas), blister agents (Yperite), or suffocants (phosgene). Civilian or military personal protective equipment (PPE) developed until now generally offers passive
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Institut de chimie des milieux et matériaux de Poitiers - Equipe SAMCat | Poitiers, Poitou Charentes | France | 2 months ago
Research Infrastructure? No Offer Description Mining, while being a driver of economic development, has generated and continues to generate large volumes of solid residues, often stored in tailings
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expertise in structural studies of thin-film materials using transmission electron microscopy. The team is also developing original methods for polymer orientation using high-temperature mechanical brushing
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, with far-reaching consequences for multi-messenger astrophysics and black hole astronomy. The HENBoS project is part of this rapidly developing context. The strategy is based on high-performance
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together 11 academic and industrial partners from Norway, Italy, Germany, and France. Its main goal is to develop an industrial PDMH storage unit with a capacity of 100 kg of H₂. Project Description Two
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reference in the world of research and development, as well as for the general public. The candidate will carry out a research activity, essentially experimental, with the aim to obtain a PhD degree of the
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species interactions, ecological responses, and future conditions). EcoDisco aims to fill this gap by developing a dynamic, discounting-based framework that: ● embeds economic discounting theory
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PhD on 2D quantum photonics : towards neuromorphic applications with 2D ferroelectrics materials M/F
unraveling the mechanisms governing domain dynamics, such as flipping and domain wall propagation—central to the emerging physics of sliding ferroelectricity. The ultimate ambition is to develop a strategy to