13 systems-engineer-"https:" "https:" "https:" "https:" "https:" "Computer Vision Center" Postdoctoral positions at Utrecht University
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engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
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! Research fields Communication sciences; Computer science Job types Postdoc Education level Doctorate Weekly hours 32—40 hours per week Salary indication €3706—€5760 per month Location Princetonplein 5
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Vision, the National Archive, and the National Library of the Netherlands. The research will take place in collaboration with the HAICu fieldlab ‘Deep Journalism’, which develops functionality for
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AI systems that translate scientific evidence into practical urban design solutions? Your job At Utrecht University, you will be part of the transdisciplinary ELEVATE project: Healthy living
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burial of microplastics and POC in currents down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on
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approaches like network analysis and complementary systems-change-oriented methods to national-scale case studies, while supporting the development of pathways and theories of change; develop reproducible
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support the implementation of the EU’s long-term Vision for Rural Areas towards stronger, connected, resilient, and prosperous rural areas up to 2040, aiming to empower rural communities to tackle climate
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and GeoAI systems to create resilient health systems and reduce health disparities? Your job At Utrecht University, you will be part of the Health Geography group as a postdoctoral researcher. You
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success factors for subsurface water storage systems. Your main case-study area are the islands of Zeeland and Zeeuws-Vlaanderen, with connections to monitoring and pilot sites. You will work at the
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intelligence, computational biology, bioinformatics, computer science or a closely related field; • strong hands-on experience with deep learning and modern representation learning, preferably including