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Field
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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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, computer science, mathematics, statistics, economics, or related disciplines, an interest for the application of operations research in energy systems and strong programming skills. Familiarity with parallel
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance
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Max Planck Institute for Intelligent Systems, Stuttgart, Stuttgart | Stuttgart, Baden W rttemberg | Germany | about 1 month ago
tasks include: implementing computational mechanics algorithms in Python and C++, translating existing research codes and numerical methods into a modern collaborative software framework, developing
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with numerical modelling and analysis and handling of large simulation datasets Strong knowledge of HPC programming (Fortran and C/C++) and performance optimization Knowledge of parallel programming
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PhD program is research-centered, emphasizing original contributions in: Wearable data analytics and fusion methods Biomedical data analytics On-device processing and performance modeling
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(UTC) Country Germany Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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communication networks and systems, as well as machine learning, computer vision, and digital video compression. Become part of our team and join us on a journey of research and innovation. Be part of change
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) Positions PhD Positions Application Deadline 30 Nov 2026 - 23:00 (Europe/Paris) Country Germany Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme
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: Degree in computer science, computational science, applied mathematics, or a related field Experience with numerical modelling and analysis and handling of large simulation datasets Strong knowledge of HPC