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to candidates from a broad range of AI subfields, including, but not limited to machine learning, generative AI, computer vision, representation and reasoning, natural language processing
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
PhD supervisors and co-direction Name: GAUCI Surname: Marc-Olivier Grade: HDR Institution: ICARE, Inserm U1091 Email: gauci.mo@chu-nice.fr Phone number: 04 92 03 70 27 Name: Micicoi Surname
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Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country France Application Deadline 1 Nov 2025 - 12:00 (Europe/Paris) Type of Contract Permanent Job Status Full-time Offer Starting Date 1
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | about 1 month ago
design’, Procedia CIRP, 100, 852–857 (2021) [8] Y. Qie, N. Anwer, ‘Invariance Class based Surface Reconstruction using CNN Transfer Learning’, Computer-Aided Design & Applications, 20(6), 1204-1220 (2023
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include
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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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Keywords: theoretical biophysics, machine learning, kinematics, (structural) biology. Context. Machine learning techniques have made significant progress in prediction of favourable structures from
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a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills
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The candidate should preferably have a PhD in Computer Science or Robotics with a solid background on deep learning and 3D scene understanding. Experience with LiDAR and Computer Vision is a plus. The candidate
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. Its human size fosters close interaction between students and lecturers, creating a personal atmosphere. With 1,600 members of academic staff for 6,700+ students and 1,000+ PhD candidates, students feel