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, breakers, reactive-power devices, HVDC and MTDC terminals and offshore connections, including their controls. Model substations, protection and measurement systems, so that faults, islanding and cascading
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. On the other hand, the physics-based models describing manufacturing process and structural performance are of nonlinear and multiscale nature. As those high fidelity models are not suitable for control
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system resilience and health disparities; designing scenario-based spatial models to investigate future risks and resilience of the health system and health disparities under polycrisis; evaluating and
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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strongly relies on the interaction between wind and dune shape. Recent improvements in airflow modelling and coastal dune modelling are promising. However, getting accurate wind field predictions remains
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: to develop next-generation autonomous crop monitoring and decision-support systems for Controlled Environment Agriculture. By integrating plant sensing, data and crop models, we aim to enable more precise and
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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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Postdoc: Subsurface Freshwater Storage and Groundwater Modelling Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8
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for autonomous systems, healthcare and rehabilitation. You will design and conduct behavioural experiments and develop computational models of multisensory integration and sensorimotor control, using approaches
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forming fundamental challenges. Physics-based models are too complex, while pure data driven models lack explainability, ultimately reducing the robustness. The proposed solution is the development of a