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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning
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French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas | France | 20 days ago
developed by MaIAGE partners (e.g. Omnicrobe application*, Ontobiotope ontology*, extraction workflow). Expected results:The PhD student will design and evaluate original machine-learning-based methods
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neuroimaging data for personalized medicine applications.Candidate profile: Master's degree or equivalent, with experience in signal processing, machine learning or applied mathematics.To apply: If interested
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models, semi-supervised learning, surface reconstruction from images, photogrammetry for VR.Summary:The 3D reconstruction of a complete environment from images is useful in a lot of applications including