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needs (including ABET support as appropriate). Requirements: A Ph.D. in Manufacturing Engineering or related fields, including Industrial, Mechanical, Aerospace, Electrical Engineering, and Computer Science
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learning has strong potential for computer vision, from hyperbolic image segmentation [2] to hyperbolic tree embeddings [3] and hyperbolic vision-language models [4,5]. [1] Nickel, Maximillian, and Douwe
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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engage in secondments to technical and clinical partners within the consortium. Research Fields Applied Mathematics, Computer and Data Sciences, Biomedical and Chemical Engineering, Endocrinology, Digital
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monitoring. To address these limitations, the proposed research will integrate UAV-based imaging, satellite remote sensing, and AI-supported classification workflows to quantify lichen distribution at multiple
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with other Doctoral Candidates and engage in secondments to technical and clinical partners within the consortium. Research Fields Applied Mathematics, Computer and Data Sciences, Biomedical and Chemical
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will also design and develop new software and prototype models. Research areas: Computer science, Simulation-based automated synthesis and verification of human physiology models, Artificial intelligence
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
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take place at the institute, including diverse research on freshwater- and marine ecosystems, aquaculture, and multiple projects in the field of fisheries science. Internal, national and international