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. These differences are partly driven by genetic variation, which influences cellular pathways involved in toxicity. Understanding this variation is essential for developing future safety testing strategies
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Where will you work? You will be appointed at TU Delft and work within a research group with strong expertise in vascular access, large animal models and clinical translation. At the same time, you will
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. This includes building model-ready databases, developing simulation chains that link process simulations with analysis, making workflows for validation, and contributing to developing AI-driven tools
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embankment health through the integration of multiple monitoring technologies, enabling more frequent, scalable, and data-driven asset management. The project will investigate the integration of Axle Box
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combining technology development with process modelling and assessment across the waste value chain. The members of the consortium include 4 other research Universities, 2 Universities of Applied Sciences
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traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where possible. This innovative new approach enables more efficient and
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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“Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient maintenance and asset management strategies. The project aims to develop a
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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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for its host. Our preliminary research shows that beetle larvae without this bacterium behave very differently from their symbiotic relatives, dispersing rather than forming protective feeding groups