20 component-labeling-agorithm-cuda PhD positions at Leiden University in Netherlands
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, cognitive science, or art is a plus; Self-motivated, creative, and able to work both independently and as a part of a research team; Strong analytical and problem-solving skills; Excellent written and oral
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Department, which is part of the Institute for Environmental Sciences at the Faculty of Science at Leiden University. In this project we study the coevolution of aging and sociality. Animals that live in
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," working closely with experts in AI and law. You will be a part of the ICAI lab AI4Oversight , and collaborate with two universities, TNO and four inspectorates, together with five other PhD candidates
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of the institute and faculty; Co-organise and participate in academic and public events, such as an international conference organized by the project. You will be part of a team comprising two PhD candidates, a
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on these two very different use cases. This research is part of the SuperCode project, funded under the NWO Open Technology Programme. As such, this is applied research in collaboration with a number of partners
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student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge
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skills Interested in participating in educational tasks Research at our faculty Working at the Faculty of Science means being part of an exciting, dynamic scientific environment which sets high standards
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)) may be part of the selection procedure. Acquisition in response to this vacancy is not appreciated. If you … Where to apply Website https://www.academictransfer.com/en/jobs/349847/phd-position
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development for hydrogen energy systems (e.g., electrolysis systems). This initiative aims to enhance performance predictions and lifetime assessments of stack components through advanced data-driven modelling
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of stack components through advanced data-driven modelling. You will work closely with experimental teams to continuously refine the model as more data becomes available and evaluate how short-term, small