73 component-labeling-agorithm-cuda PhD scholarships at Technical University of Denmark in Denmark
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supervisors and fellow researchers, you will contribute to the development of solvers for combinatorial optimization problems and apply them to real-world data from industrial partners. As part of your PhD, you
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. An external research stay of approximately 3 months in a collaborating institution is a mandatory part of this PhD fellowship position. You will work in close collaboration with experienced researchers and
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material characterization, material flow analysis and material recycling. This PhD opportunity is part of the Marie Skłodowska-Curie Doctoral Network SCARPA , a European training network committed
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. Across these applications areas, a central and critical challenge in bioprinting is the design of appropriate biomaterials to serve as synthetic matrices and scaffold for the tissues. You will be part of a
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automation Earth processing Computational fluid dynamics Numerical process modelling Rheology Furthermore, the candidate should be motivated to work collaboratively as part of a team. You must have a two-year
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biocompatibility in collaboration with other students and project partners. We are seeking a highly motivated candidate who can work effectively both independently and as part of a team, and who communicates clearly
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Identification System (AIS) for ship detection. You must be fluent in English, both speaking and writing and possess excellent communication skills. As part of the Danish Ph.D. program, you will follow a number of
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
the furthermore, core works are envisioned in (c) initiating novel VLE design using foundational Digital Twin for Construction Safey (DTCS) components (e.g., city models, nD BIM, IoT/sensor data, TPTC, LPS, LBS
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an essential component of the project and will contribute to the interdisciplinary nature of your PhD. We expect candidates to have demonstrated experience or strong interest in the following areas
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partners from Denmark and the Netherlands. Thus, these 2 PhD projects will be an integral part of a broader research team, consisting of collaborating partners with a common passion for autonomous