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or October 2026. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Berlin Mathematical School (BMS) is the
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. Faculties Humanities Social Sciences, Economics, and Business Administration Human Sciences and Education Information Systems and Applied Computer Sciences Financial support Yes Structured research and
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science, data science, applied mathematics, physics, materials science, or a related field. Solid background in machine learning and/or computer vision. Interest in representation learning, active learning
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | 4 days ago
. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The International Max Planck Research School on the Social
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 4 days ago
the IMPRS CoNI is English, German language skills are not mandatory. For PhD applicants, a minimum score required for a TOEFL paper-based test is 550. The minimum score for the TOEFL computer-based test is
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per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The curriculum focuses on basic research in climate system interactions
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qualified women. About the position The position contains both teaching duties and participation in research projects. The research project topics focus on improving object recognition through computer vision
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Beginning Only for doctoral programmes: any time Application deadline It is possible to apply at any time. Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree
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twin of sperm motility, and utilize it to develop a separation method. Your tasks will include: Performing computer simulations and matching them to experimental data Very close collaboration with
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design