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Field
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applied methodologies in Data and Image Analysis, Computational Imaging, Statistical Learning, Uncertainty Quantification, Robust Estimation, and Deep Neural Networks. The group combines expertise in
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preliminary data indicate that in childhood brain tumours, antigen-specific T and B cell responses at the CNS borders are functionally impaired. We hypothesise that dysfunction of the meningeal lymphatic system
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automated vehicles, the design of control center and teleoperation concepts, and sustainable mobility and operational concepts in public transportation. A particular focus is on the technical supervision
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to study the behavior of tissues at single cell resolution. We offer an inspiring intellectual, collaborative, and multidisciplinary research environment to support your career goals and provide access
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mimicked with in vivo models of metastasis, which provides unique opportunities to mechanistically dissect what drives the different cell states. You will link clinically relevant phenotypes to putative
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Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal
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and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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protocols aimed at enhancing the quality of life in older adults, particularly through improving mobility and cognitive function associated with vestibular problems. This position will also enable
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participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is