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3 Oct 2025 Job Information Organisation/Company LEM3 Department 57 Research Field Engineering » Biomaterial engineering Researcher Profile Established Researcher (R3) Positions Master Positions Country France Application Deadline 15 Oct 2025 - 00:00 (UTC) Type of Contract Temporary Job...
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ACCESS project and take part in an innovative collaborative program dedicated to the design and development of active Thin-Film Electrode Arrays (TFEAs) for cochlear implants. The main objective of WP1 is
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27 Sep 2025 Job Information Organisation/Company Université de Montpellier Research Field Computer science » Informatics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country France Application Deadline 14 Oct 2025 -...
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which neural network effectively conveys this information are central questions in the field of hearing and neuroscience in general. We are developing several complementary approaches to answer
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learning about science and the scientific process. Strips and videos have become very popular media for all generations. The second objective is to develop new scientific knowledge in science education
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cells at the choroid plexuses on brain development. Our lab investigates how immune cells and signals shape brain development, activity, and aging. In this project, we aim to dissect the contribution
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is certainly the Hopfield network model where the evolution of the state of each unit (neuron) is dictated by minimizing its contribution to the total energy of the system. Once equilibrium is reached
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Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description This project will be developed in the frame of a European Research Council
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 15 days ago
), the objective of this internship is to improve the performance of full waveform inversion (FWI) algorithms for seismic subsurface imaging. This work lies at the interface between Earth sciences, mathematics, and
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can be developed using FPBTs and FBGs coupled with physically informed (PI) machine learning algorithms. SMATSH scientific objectives are then to develop computationally efficient models to predict