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)design; integrating multi-source datasets, including street-view imagery, GIS data, smartphone mobility data, and qualitative insights; applying and adapting state-of-the-art foundational AI and machine
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Postdoc: Machine learning for wind flow prediction in coastal dunes Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 6
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advancement of high-performance eco-friendly electrical steel coatings, driving both academic and industrial progress.
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Join an ambitious, multidisciplinary project at the crossroads of interaction and urban design, where your research can shape the vision of open and accessible cities! This position is part of
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project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through
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the Horizon/New European Bauhaus EU-funded research and innovation project 'ROUTES – Reimagining Open Schoolyards and Urban Streets as Equitable Spaces,' which will launch in September 2026. About ROUTES ROUTES
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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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We are seeking an enthusiastic, research-dedicated postdoctoral researcher to lead the development of a Mediterranean-wide Community of Practice on social innovation and nature-based solutions (NBS
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Postdoc: Mediterranean Community of Practice on Social Innovation & NbS Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40 Application
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the electromagnetic performance of oxide coated electrical steel lamination. Explore its recyclability of eco-friendly electrical steel coatings. Where to apply Website https://www.academictransfer.com/en/jobs/362658