36 algorithm-development-"Multiple"-"Prof"-"University-of-South-Eastern-Norway" positions at Utrecht University
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University, you will develop innovative methods to make geographic data smarter and more question-aware, contributing directly to the future of spatial reasoning and sustainability. Your job Answering
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knowledge flows between researchers, companies, and regulators, and develop practical tools and strategies to accelerate the shift toward animal-free methods. Your work will combine advanced quantitative and
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such cases, maps must be created or transformed from data rather than simply retrieved. The GeoTrAnsQData project addresses this by developing a GeoQA method that converts questions into executable geo
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work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop surrogate and hybrid modelling frameworks combining process-based models with data science
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learning with emerging technologies involving extended reality. We focus on how, when, why, and who benefits from using these technologies. The goal of our work is to develop evidence-based knowledge
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investigates learning with emerging technologies involving extended reality. We focus on how, when, why, and who benefits from using these technologies. The goal of our work is to develop evidence-based
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of the Weingarth group, you will be working with a young, dynamic team focused on drug development and drug delivery. You work will be centred around the isolation and purification of lipids from microorganism
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, pathologists, led by PI/Assistant Professor Dr. Lonneke IJsseldijk. This position offers a dynamic and professional work environment with opportunities for professional development, including training through
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work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop surrogate and hybrid modelling frameworks combining process-based models with data science
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timescales, for various climate states and ice sheet geometries. As training data, precipitation fields from the regional climate model RACMO will be used, which is a leading model in this field and developed