10 eclipse-framework "Computer Vision Center" Postdoctoral positions at Utrecht University
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-Risk (DAPP-MR) framework helps decision-makers navigate these challenges by identifying low-regret near-term actions and avoiding costly decision lock-ins. Building on this framework, this position
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current events remain poorly understood. The DEEP-FLUX project aims to establish a new physical framework for quantifying fluxes of POC and microplastics from land to the ocean floor. The project
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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
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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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engagement with project partners; M&E framework to evaluate future transition pathways for a circular society; Co-design theories of change with project partners to co-develop systemic strategies for
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Atlantic) complemented with laboratory experiments to build an eMRV framework supplementing traditional MRV. Observational approaches include deployment of passive chemical samplers, quantifying organic
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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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researcher with a strong technical background and an interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science
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partners at Princess Maxima Center) using AI/ML techniques, implement antigen data analysis and discovery processes, and contribute to the maintenance of data infrastructure in collaboration with