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heterogeneous sensor data will be implemented. This will notably involve defining relationship graphs between the different sensors and evaluating the performance benefits of a learning approach that takes
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Institut de Recherche pour le Développement (IRD) | Montpellier, Languedoc Roussillon | France | 5 days ago
Optional Skills / Knowledge Expertise in statistics Expertise in high-performance and parallel computing Expertise in neural networks Personal Qualities Intellectual curiosity Autonomy Adaptability Rigor
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18 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 14 May 2026
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, funded by MICIU/AEI/10.13039/501100011033. KEY RESPONSIBILITIES Perform excellent research according to the high standards of the lab and the IRB Barcelona under supervision of the PI. Independently design
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Postdoctoral position (M/F) on impedance and dielectric study of solid/solid interfaces in batteries
enhanced performance, safety, and recyclability. R&D efforts are thus pursued in different areas, such as novel LIB materials and fabrication processes, or new rchitectures/technologies, such as all-solid
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, interdisciplinary research and high-quality international scientific environment. Induction programme to facilitate incorporation at IBEC and additional support is provided for foreigners to obtain Visa-working
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particular emphasis on deep-field observations. The position provides access to large, high-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio
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Renault et al., 2019) in order to disentangle the different processes involved and to highlight the most important ones ; Perform a future simulation based on basin-scale future simulations developped
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to demanding application domains such as: Data interfaces to quantum computers, including cryogenic, ultra-high-bandwidth interconnects and packaging concepts for high-speed operation in extreme environments
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practical experience with Linux/Unix, High Performance Computing, and scientific programming is recommended or the willingness to learn these skills basic expertise with scientific data analysis good skills