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assistant »High Performance Cutting« Phone: +49 241 8904-587 Fraunhofer Institute for Production Technology IPT www.ipt.fraunhofer.de Requisition Number: 83507 Application Deadline:
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, computer science, natural sciences and engineering. Who can apply? The scholarship programme is aimed at high-achieving students from developing and emerging countries who would like to complete a Master’s degree in
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 3 hours ago
performance in the required courses of the PhD programme will be evaluated by regular testing and confirmed by the supervisor. PhD students determine their individual courses of study in accordance with
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The German Cancer Research Center (DKFZ) is one of Europe’s largest cancer research centers. “Research for a life without cancer" is the mission of our world-class scientists and all our team
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excellent performance in their Bachelor's studies. A cumulative grade point average of 2.0 or higher is required (converted to the German grading system). Academic Requirements Candidates have completed
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 24 days ago
workstations for experiment-linked processing; the University of Konstanz high-performance computing cluster; advanced computational facilities at the Max Planck Computing and Data Facility (MPCDF) in Garching
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 3 hours ago
during seminars or by participating in doctoral colloquia. Each student's performance in the required courses of the PhD programme will be evaluated by regular testing and confirmed by the supervisor. PhD
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department, Applied Cybersecurity, focuses cutting-edge problems in the foundations and applications of cryptography, including privacy‑enhancing technologies, secure and verifiable computation, and securing
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is