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arm, several Unitree GO2 robots, mobile platforms and robot arms and access to powerful GPUs for simulation and training Involvement in teaching and contributing to the fields of robotics, deep learning
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, Machine Learning, Cognitive Science), documented by publications in leading venues. The position requires a solid mathematical background and experience with Deep Learning libraries (e.g., PyTorch), as
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of innovative approaches (including state of the art deep learning applications) for efficient data integration. Generate actionable insights to advance both diagnostic applications and fundamental research in
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interdisciplinary thinking • High level of initiative and commitment • Ability to work in a team and communication skills • Good knowledge of Ansys Fluent • Experience with deep learning methods and packages
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(including state of the art deep learning applications) for efficient data integration. Generate actionable insights to advance both diagnostic applications and fundamental research in neuropathology
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expertise in developing and applying machine learning models (sklearn, etc) and deep learning frameworks (PyTorch, TensorFlow, etc.) for analysing biomedical data. Strong programming skills in Python
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-ESPRESSO, LAMMPS, CP2K, NWChemEx, or Fleur software. The main effort will focus on the efficient utilization of GPU power. Deep potentials obtained from Machine Learning for the acceleration of molecular
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environment (e.g. cleanroom, laboratory Deep knowledge of solid state physics and/or quantum information Experience with microfabrication and/or operating and calibrating quantum systems Experience with
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. Topic / Area: The positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in
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(e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Green hydrogen is key to decarbonizing many hard