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understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management. One the project outcomes is to explore
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models. As a result, your project will inform and enhance decision-making in coastal dune management. The ultimate goal of this project is to build a surrogate wind field model that can feed accurate wind
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, to eventually capture them in physical-chemical models that predict the impact of acidification on marine P cycling. The PHOSFLUX project is a collaboration between the NIOZ (dr. Peter Kraal) and Utrecht
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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-modelling skills with an interest in societally relevant freshwater challenges. You bring: A PhD in hydrogeology, physical geography, earth sciences, civil or environmental engineering, or a closely related
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coarsely-resolved climate models. This fully-funded position is part of the European Research Council (ERC) 'ICE-FLOE' project, and will involve collaborations with other team members at TU Delft and
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capabilities interact with operational conditions, human intervention and the wider maritime and port logistics systems. The postdoctoral researcher will develop data-driven and model-based approaches to support
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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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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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deploy detailed models