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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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citizens in their choices, public authorities in their decisions and businesses in their strategies : https://www.list.lu/ How will you contribute? The trainee will work within the LIST AI Technical Sandbox
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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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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