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of this highly promising modern technology. Deep learning methods are highly effective when targeted and precisely utilized. Incorporating explainable mechanisms will thus strengthen the expertise of biomedical
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of real-world systems. MIMOVE's research results impact various application domains; MIMOVE focuses in particular on the application areas of IoT and smart cities. The PhD student will be an employee
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, includin advanced distributed sensing on autonomous swarms of mobile robots. The goal of this PhD is to explore that opportunity. One challenge is that the connectivity between such embedded devices is lossy
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. The simulated robot data is easier to construct, but still requires much engineering work to create scripts and suffers from a sim-to-real gap. The real-world Internet data though is large-scale and contains real
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process [ 10 ]. Principales activités Objectives The main goal of the PhD project is to elucidate the role of mesoscales network structures in generalizable artificial intelligence. Speci cally
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computing and privacy in the digital world, but also in digital health and computational biology. Contexte et atouts du poste The PhD thesis will be held at Ecole Normale Supérieure (ENS-Lyon), in Lyon
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within a Research Infrastructure? No Offer Description Contexte et atouts du poste The main goal of this PhD project is to develope a deep learning framework for the design of cyclic peptides. This project
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equivalent) in Computer Science, Computer Engineering, or Electrical Engineering. Languages: proficiency in written English and fluency in spoken English required. Relational skills: the candidate will work in
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of classification models capable of identifying and classifying pain flare states accurately. Principales activités The missions of the PhD encompass several key scientific objectives. Firstly, active participation
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the model and to build a "ground truth" that would be the most plausible. Data used for this PhD will come from existing datasets. Principales activités - Analyse and process EEG and fMRI data - Propose