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ambiguity in defect labeling. This is your chance to master cutting-edge deep learning techniques, advance active perception research, and shape the future of robust inspection systems onboard aerial robots
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of expertise, collaborating with faculty and other researchers as part of a strong interdisciplinary research team, and will be involved in collaborations with industrial partners and international academic
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Job Description This project is part of a new collaboration with the University of Queensland (Australia) and the pharmaceutical company, Astra Zeneca (Gothenburg, Sweden). All three groups (DTU, UQ
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traditionally relied on discrete active and passive components, with manufacturing processes remaining largely unchanged and labor-intensive. As part of the ERC project H3PMAG, this project aims to develop
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activities will be carried out within both DTU Sustain and DTU Food departments. In QSA, you will become part of a dynamic and team-based research environment with around 50 international staff members
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characteristics are intricately linked to the electronic configurations of the f -element ions, and any modifications in these configurations result in dramatic changes in their physical and chemical properties
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of solvers for stochastic optimization problems, and test the methods on real-life data. As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and
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work closely with, and spend part of their working time at, UCPH Lighthouse. Responsibilities and qualifications The PhD project focuses on the financing of deep tech startups emerging from European