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-supervision by a doctor and a statistical/machine-learning researcher is planned (iBV / Inria) 1- Context and Objective: Monitoring tumor response using clinical imaging, such as CT or FDG-PET, has become a
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of Computer Science (DCS) investigates and contributes to shaping the information and communication technology-society interface. DCS promotes interdisciplinary research and closely cooperates with other high-profile
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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, Magnenat-Thalmann N, Delingette H.3D Reconstruction of Anatomical Structures of the Lower Limbs.In: ORASIS 2009 – Conference of Young Researchers in Computer Vision; 2009 Oct 12–16; Trégastel
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their neural implementation. Profile of the Expected Candidate We are seeking a highly motivated and qualified candidate with the following profile: Master’s degree in Computer Science, Engineering, Physics
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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to obtain funding for PhD students. In parallel, applications to FRM and/or Pasteur-MD-PhD-PPU program will be also encouraged. Opportunities for Interdisciplinary Training: Depending on the candidate’s
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neuroscience, biophysics, engineering, or related field. 2) Experience in one the following areas would be appreciated: in vivo electrophysiology, 2-photon imaging, optogenetics, microscopy. 3) Enthusiasm