89 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" positions at Utrecht University
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; collaborating with municipalities, urban planners, designers, and residents in model co-creation and validation workshops; contributing to the development of an interactive, publicly accessible web interface (e.g
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that represents the region’s complex palaeogeographical development and depositional environments. Using this model, you will investigate infiltration and extratraction schemes, interactions between surface water
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deadline: 16 October 2026 Apply now Do you want to develop a foundation model for one of biology’s most complex ecosystems? By joining the European Innovation Council (EIC) Pathfinder project NOAH, you will
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Research Infrastructure? No Offer Description Do you want to develop a foundation model for one of biology’s most complex ecosystems? By joining the European Innovation Council (EIC) Pathfinder project NOAH
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-on-modelling-of-tu… Requirements Specific Requirements We seek candidates who are motivated by the proposed research, take initiative to develop ideas, are self-driven, and can work both independently and within
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of the PhD position advertised here will mainly involve the development of the computer model for flux quantifications, and the validation of the model against laboratory experiments. Training A personalised
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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closely with colleagues and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome
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& Spatial Planning, Physical Geography, and Sustainable Development. The team of the Department of Physical Geography excels in research and education on BSc, MSc and PhD level. We research processes
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and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome applicants from all areas