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heterogeneity; namely non-iid and domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact
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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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probabilistic modeling, with direct applications in medical imaging and beyond. Details can be found in the link below. The position is suitable for disabled persons. Disabled applicants will be given preference
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Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a
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knowledge-driven reconstruction of floor plans using multiple image data sources” Research and development into knowledge-driven systems and their integration into generative AI Providing scientific
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The main task is the further development of methods for the non-destructive investigation of the pyramids of Giza in Egypt (World Cultural Heritage) in cooperation with our partners by using acoustic imaging
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distributed energy storage like stationary batteries and hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven
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purely motor-powered ships and will be marketable as an independent product. The new system to be developed will be tested and optimized with an existing CargoKite ship prototype in real operation
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Chair of Biological Imaging 26.05.2025, Wissenschaftliches Personal We now seek a highly qualified and motivated Science manager (f/m/d) to support our ongoing third-party projects and the
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to adapt. Your tasks Given the paradigm shift in marketing of searching products from search engine to direct recommendation from Chatbot based on Large Language Models (LLMs), we’d like to explore following