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domain to enhance the performance, reliability, capabilities and environmental sustainability of ESA’s Operational Framework for Copernicus (EOF-CSC) and DestinE ecosystem service operations and big data
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knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
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build relationships. The present project aims to build and test in a Multicentric approach, a digital architecture to support a “personalised digital follow-up environment” . This is based on data
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developmental data and ecological validity. Infant data will be acquired in collaboration with Dr. Tessa Dekker (University College London) and Dr. Ingmar Visser at UvA. The project thus aims to quantify and
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if the necessary clean energy and energy infrastructure is available at competitive costs. Large-scale investments in the energy sector meanwhile get off the ground only if industry is prepared to electrify its
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large number of development projects, ranging from Copernicus, Meteo to EO research missions, for a variety of applications and users. Each mission includes a set of spacecraft or standalone instruments
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data mining algorithms that can integrate and combine multi-modal data acquired from a variety of sources (smart watch sensors, spatial maps, building information sources (drawings and digital models
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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(scientific) programming, and an affinity with network analysis in particular. You are able to work with very large data and have the creativity and curiosity to develop AI models for network analysis
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populations are to be expected, especially given the large quantity of future planned OWFs. Also we would like to test the attraction versus production hypothesis: are fish simply attracted to the monopiles