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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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, Computer control of measuring equipment and data acquisition, Ultrafast dynamics, X-ray spectroscopy, Ultra-high vacuum technology. Applications should be sent by e-mail, together with significant documents
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environment The professorship will be assigned to the TUM School of Computation, Information and Technology, Department of Computer Engineering, combined with the position of the institute director at
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Friedrich Miescher Laboratory of the Max Planck Society, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 1 day ago
Job Offer from September 09, 2025 The Friedrich Miescher Laboratory (FML) of the Max Planck Society comprises four junior research groups that deal with different areas of biology. The FML
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. The team is located within the School of Computation, Information and Technology at the Technical University of Munich, an internationally renowned university with excellent connections to leading research
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
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06.09.2023, Wissenschaftliches Personal The Livestock Systems research group at the TUM School of Life Sciences is recruiting a postdoctoral researcher (m/f/d) to work on grassland restoration
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integration of energy systems data and models and apply data science methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using