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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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, the university hospital of TUM. Our offer We are currently seeking two PhD candidates to join our international team of scientists from the fields of machine learning, computer vision and medical imaging. We offer
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on advancing spacecraft control systems through AI-driven AOCS. This PhD position involves developing innovative control strategies using machine learning and other AI techniques to enhance spacecraft autonomy
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processing and modeling Experience with the conception, implementation and training of deep learning models Excellent organizational skills and good mentoring capabilities Fluent in English. Communicate
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and modeling * Experience with deep learning frameworks * Scientific software development * Excellent organizational skills and good mentoring capabilities * Fluent in English. Can communicate clearly
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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
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coordinating hub for research on data ethics and related education and policy activities. We are excited to collaborate with a highly motivated postdoctoral researcher who shares our deep interest in exploring
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models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
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to build a collaborative scientific carrier in computer science and medical data analysis at a German top-ranked university. Help to acquire, mentor and teach students (e.g., PhD, MSc, BSc, seminar series