67 component-labeling-cuda PhD positions at Technical University of Denmark in Denmark
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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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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
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Job Description We are seeking candidates for a 3-year PhD project as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Consumer Energy Demand Flexibility in Electricity Use
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mergers of neutron stars. You will become part and play an active role in large international collaborations, and you will engage in searches for transient phenomena in large data streams by developing