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work will provide the "ground truth" for the project. By simulating complex inflow conditions, you will create the high-fidelity datasets required to validate the Wind Field Forecasting (WFF) models
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to extend the operational lifespan and reduce the overall weight of wind turbines. By innovating ways to lower mechanical loads on critical components and optimizing material usage, we aim to pave the way
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(e.g. via LLMs and RAG), tools for topic modelling, sentiment analysis, opinion mining, trend analysis, and various forms of text annotation need to be integrated in the infrastructure, as well as tools
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Key takeaways Rain erosion of wind turbine blades is one of the main causes for maintenance of (offshore) wind turbines. In order to increase lifetimes, leading edge coatings are developed
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research team and support us in our efforts to develop refined preclinical models for high-impact emerging viruses. You will be directly contributing to global pandemic preparedness efforts in a One Health
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consist of multiple interacting components whose therapeutic behaviour changes after administration due to biological interactions (protein corona formation, degradation, payload release). Current AI
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specialised engineers from various engineering disciplines. The Section currently has nine members who work together closely and take pride in being part of an ambitious and motivated team. You will have the
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equipment in the North Sea, with emphasis on offshore wind farms. THE INSTITUTE NIOZ is the national oceanographic institute of the Netherlands. Its principal mission is to perform academically excellent
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model. THE PROJECT As part of the Energy Transition, further expansion of wind farms is expected in the North Sea in the next decades. This will likely affect the marine ecosystem and fisheries, but how
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nanophotonic structures can be designed to approach these limits. As a postdoc, you will develop theoretical models and inverse design strategies for optomechanical nanophotonic transducers. You will investigate