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(Label of Excellence - 00180410, Normandy Region) which aims to develop a new perspective on interfacial interactions for a tailored performance of porous materials. This project aims to apply and combine
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(Label of Excellence - 00180410, Normandy Region) which aims to develop a new perspective on interfacial interactions for a tailored design of porous materials. This project aims to apply and combine
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. This project aims to evaluate its potential as a regulator of the antitumor immune response. The site is accessible by tram (Line A, Campus Illkirch station) from the Strasbourg train station or by car (parking
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characterization of materials. • Development and operation of experimental test benches under high-vacuum conditions. • Definition of test protocols, including detailed test procedures and acceptance criteria
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to develop algorithms to factor linear differential operators using p‑adic techniques. The central question of this proposal concerns the efficient symbolic resolution of linear differential equations
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program initiated nearly a decade ago within our research group on the total synthesis of Securinega alkaloids. The aim of this postdoctoral project is to develop a concise and efficient synthetic approach
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of the multidisciplinary TrAI-SOC project, coordinated in collaboration with UGA's CERAG laboratory. SocSIM-K: https://lig-socsim-k.imag.fr/ LIG: https://www.liglab.fr/en Activities Design the game and define all of its
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on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
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catalytic materials based on low-melting-point metals, developed within the framework of the ANR-funded LIZA project (Liquid Metals for Stable Zeolite Catalysis). The candidate will employ the advanced
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within the research group; - develop and troubleshoot experimental strategies; - contribute proactively to the formulation of biological questions and the interpretation of results; - present research