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measurable. This can be approached through empirical analysis of large-scale simulations, through new (semi-analytical) models that predict the impact of introducing these vehicle types, or a combination of
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for recruitment positions for general criteria for the position. Preferred selection criteria Experience with computer vision, video analysis, self-supervised learning, vision transformers, or multimodal learning
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Are you excited about the future of wearable healthcare? Join us to merge microfluidics and contact lens technology, developing smart lenses that enable controlled tear fluid collection and analysis
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25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
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pharmacokinetic models and signal analysis methods that turn nanobubble transport into a diagnostic biomarker. Information Prostate cancer is the most common cancer among men in the Netherlands, and its diagnosis
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projects. The research is of international quality, and we collaborate with researchers around the world. Within the area of Energy system analysis, the research is targeted at the transition to a
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form of energy–e.g. electrical, magnetic, acoustic, or chemical–into mechanical motion. These swimmers are expanding the frontiers of micro-engineering and can be used in tasks such as chemical analysis
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the University of Basel. Experience in the following areas are of special interest: Mammalian cell culture and analysis (Microscopy, qRT-PCR) Hydrogel formulations and characterisation (Rheometry, Atomic Force
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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for “what-if” scenario analysis derived by Integrated Assessment Models (IAM). You will develop different pathways based on multiple realisations of CMIP6 and/or CMIP7 datasets, aligned with IPCC scenarios