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programming skills in C++ and/or Python; experience with high-performance or real-time computing, e.g. GPU, multi-core, embedded, is desirable Prior experience with SOFA is a clear advantage; experience with
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for interdisciplinary research at the interface between algorithms and hardware, as well as the ability to work both independently and within a research team. Proficiency in Python programming (e.g., PyTorch
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trustworthiness evaluation workflows within the AI Technical Sandbox. Is Your profile described below? Are you our future colleague? Apply now! Education Master in computer science Experience and skills Python
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MSc in applied mathematics or engineering Strong analytical and numerical skills Knowledge of optimization and operations management Knowledge of programming, possibly Python Preferred knowledge
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deep learning, optimisation, sampling. Good coding skills for numerical simulation (Pytorch, Python, MATLAB, ...). A general interest in health and biology is welcome. Practical information MORPHEME
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contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
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, clustering, classification • deep learning, variational auto-encoding, back-propagation • excellent knowledge of R and Python. The knowledge of C++ would be a plus. Application: Application files should
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
to clinical applications. ➢ A good knowledge of Python, TensorFlow, PyTorch environments, and segmentation software such as 3D Slicer is expected. ➢ Skills in knee anatomy, CT imaging, as well as an interest in
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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should be proficient in Python, PyTorch or Scikit-learn. The candidate should also be endowed with a strong passion for multidisciplinary studies and all aspects of research ranging from fundamental work