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Field
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, Dialogue management. Skills: Software Engineering (Python), Knowledge graphs, English scientific communication skills. LanguagesENGLISHLevelGood Research FieldComputer science Additional Information Benefits
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scienceEducation LevelPhD or equivalent Skills/Qualifications Background: Computer Vision Human movement quality assessment Thermal camera (beneficial, but not necessary) Skills: Software Engineering (Python, C
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manipulation (theoretical and practical experience), Contact representation and modeling. Skills: Software Engineering (Python, C++), ROS, 3D modeling, English scientific communication skills
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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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, 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