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on artificial Intelligence an applied Mathematics for History and Archaeology (IAMAHA) co-organised by CEPAM, Inria Côte d’Azur and I3A in Nice. Candidate profile and skills Degree: The candidate must hold a
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the acquisition of multimodal/heterogeneous surgical data with artificial intelligence. Although this approach has been studied extensively in simulation (Tolvanen, et al.), there are currently no practical
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participate to scientific life of the teams. 3- Profile and skills required We are looking for a candidate with competences in Artificial Intelligence models, medical image processing, and mathematical modeling
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competences in Artificial Intelligence models, medical image processing, and mathematical modeling (Master 2 level). We seek solid programming and IT skills, along with good communication abilities and an
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. Similarly, forgetting is a challenge for artificial intelligence: once a machine learns something, it’s hard to have it forget. This has unwanted implications when machines learn something wrong, private
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interdisciplinary areas such big data, artificial intelligence, mathematical modeling, or chemistry. As a Principal Investigator at IRCAN, you will have the opportunity to: Lead and develop an independent research