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sometimes struggle to effectively sustain patients' learning throughout their rehabilitation journey and may not adapt to the evolution of their abilities. Rehabilitation is a complex process that requires
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for experiments below the MHz to detect the current fluctuations. We propose for the internship to use our newly developed ultrasensitive TMR-based (Tunnel Magnetoresistance) magnetic field sensor to detect
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electron microscopy (SEM) in particular. • The second part focuses on analyzing the impact of AFP process parameters on residual stresses developing in flat and curved plates, the latter being
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offering a postdoctoral position in multi-messenger astrophysics related to the KM3NeT, SVOM, and COLIBRI detectors. The main objective is to complete the development and optimization of the KM3NeT neutrino
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 27 days ago
to research in computer science and mathematics. 400 R&D engineers support research scientists by developing software tools and platforms that help the research process and the experimentation. Spirals
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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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of IsoPROPEL is to develop fuel cells that utilize the isopropanol/acetone couple for boats navigating European waterways (canals and rivers). The recruited candidate will be affiliated as a PhD student at ENS
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: This PhD project aims to develop new strategies for improving S&D contacts in OTFTs, reducing contact resistance, and enhancing device stability. Two complementary approaches will be investigated: 1
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one species. Secondly, they will explore the evolution of this molecular complex (or single nuclease) across nematode species to understand its origin. In parallel, they will analyse the dynamics
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controlled via structural phase transitions or external fields. The successful candidate will develop and apply a range of theoretical and computational methods based on first-principles electronic structure