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-month programme focused on scientific excellence, innovation, and societal impact. The programme will provide training in relevant aspects of biology, physiology, physics, mathematics, computer and social
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6 Mar 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer ingineering Research Field Engineering » Computer engineering Researcher Profile First
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astronomy, and leverage the latest observational results of MeerKAT and other radio telescopes to investigate signals of various particle dark matter candidates. Qualifications: Applicants must have: a Master
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artificial intelligence techniques in the context of physical modelling. Proficiency in signal and data processing, including time- and frequency-domain analysis. Familiarity with instrumentation for non
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job details https://www.ifpenergiesnouvelles.com/ Work Location(s) Number of offers available1Company/InstituteIFPEN LyonCountryFranceState/ProvinceRhone-AlpesCitySolaizePostal Code69360StreetRond-point
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architectures of digital circuits, FPGA would be a plus - Knowledge in coding and compression of information, or signal processing - Experience with manipulation and customization of AI training flows
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
-dimensional non-linear inverse problems. The fundamental challenge is to estimate physical parameters (the “causes,” denoted as x) from observed signals (the “effects,” denoted as y). Bibliography Douté, F
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/ Partnerships Partners of the PEPR DIADEM – CINEMA project funding this PhD: IRCER, Institut P’, ILM https://www.pepr-diadem.fr/projet/cinema-2/ Scientific Field and Context The optimization of growth–property
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the developing cortex and play a crucial role in establishing proper cortical regionalization and lamination. Distinct CR subtypes are generated at signaling centers in response to morphogens and participate
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on electrophysiological approaches (MEEG, iEEG) and signal processing, while in Maastricht, the partner team provides ultra-high-field imaging (7T and 9.4T fMRI) and AI-based modeling. The PhD student will be enrolled