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). The candidate should have strong knowledge in biomechanics—particularly musculoskeletal modelling—and neuroscience, as well as skills in signal processing and/or musculoskeletal modelling and/or numerical
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Research axis of the 3IA: Axis 3 - AI for Computational Biology and Bio-inspired AI Supervisor (3IA Chair): Emanuele Natale, Sophia Antipolis Laboratory for Computer Science, Signals and Systems
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affinity to relaxin-3. This directed evolution used in biosensor engineering mimics the process of natural selection to evolve this chimeric protein into a robust and sensitive tool for relaxin-3 detection
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neuroscience or signal processing. - You have good communication skills in English (speaking French is not a requirement). Research environment: Research will be conducted at the Institute for Neurosciences
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Mediterranean Institute of Oceanography | Marseille, Provence Alpes Cote d Azur | France | 7 days ago
meltwaters and rivers during peak melt indicate regular exposure of glacier surfaces to ice-nucleating organisms. AIM: The objective of this Master’s project is to investigate the prevalence of the ice
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control software (Matlab, LabView, etc.) Basic knowledge of digital communications and signal processing Writing skills in English and French required (level B2 in French) Abilities and skills: Open
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experience: – Recommended: Data analysis using Matlab or Python (signal processing, electrophysiology, image analysis, and statistics) – Optional: Two-photon microscopy, development in LabVIEW • Personal
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of the scientific publications • Motivation letter • Letter of recommendation of the thesis supervisor Description of the topic: Change-point detection (CPD) is a fundamental problem in statistics and machine
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language processing, multi-modal learning, human-computer interaction, or generative AI for science and education Publications in top-tier computer conferences and journals related to AI and machine learning, including
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une méthodologie robuste pour comparer finement des morphologies embryonnaires complexes, • mettre au point un réseau neuronal adapté aux défis spécifiques de la microscopie 3D+temps, • fournir un