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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we are seeking a highly talented and motivated PhD student
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, learning, and shared understanding in blue-collar workplaces. The project combines fieldwork in real-world settings with the design and evaluation of AI-driven tools. You will join an active, collaborative
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engineering, and data intensive methods, with a strong focus on real world impact through collaboration with industry, utilities, and public stakeholders. Research themes The PhD positions are embedded in
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, sensing at the robot–environment interface, and bioinspired control strategies to allow the robot to perceive and adapt to different terrains. By bridging soft robotics, physical intelligence, and learning
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involves collaboration with international research partners, and a planned 3-month research stay abroad at the Netherlands Interdisciplinary Demographic Institute (NIDI). Your competencies We are looking
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immunity in along with development and testing of innovative vaccine/vaccination concepts in fish. Your work will be part of externally funded national and international collaborative research projects
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study programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations