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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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/ production of relevant outputs (manuscripts, presentations, reports) relating to the ‘Social and Economic Predictors of Mental Disorders’ study (SEPMD), namely developing analyses and manuscripts to identify
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applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive
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disease. We develop supervised, un-supervised, self-supervised and generative models to learn across multiple types of data rather than treating each data modality in isolation. We have a high focus on
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biomedical engineering. We currently host several Ph.D. and postdoctoral fellows from Denmark and multiple nationalities. The group’s research interest spams from musculoskeletal simulations to design and
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of sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects. The Ph.D. candidate will focus on information
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of sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects. The Ph.D. candidate will focus on information
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of sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects. The Ph.D. candidate will focus on information
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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develop innovative methods to measure diverse isotope dimensions for methane, as well as organic precursors, in order to trace carbon flow in methane-related ecosystems; 2) You will conduct culture