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models planners and stakeholders use to co-design urban futures. Your work will develop, test and critically evaluate AI components that support scenario generation, data enrichment, conversational
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! Your job We are a young, international and multidisciplinary research team of three assistant professors, three postdocs, six PhD candidates, three supporting staff members, and students. The group is
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—academic, technical, and institutional. Participate in project meetings and contribute to reporting and dissemination activities. Optionally: help organise and follow up on a workshop for legal-ethical
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Earth Sciences, Inorganic Chemistry, Material Sciences or other appropriate fields. You will work on the project: Quantifying lithium partitioning between rock-forming minerals and silicate melt. Your job
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take the lead in bringing together knowledge and practical insights from our interdisciplinary project on synthetic data into a clear and actionable guideline, whitepaper, or tutorial research paper
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fields. You will work on the project: Quantifying lithium partitioning between rock-forming minerals and silicate melt. Your job Lithium has various industrial applications, with the electrification
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modeling (DEM, FEM, BEM). Your job You will work on the project “FastSlip”. In this position, you will develop and utilise scale-bridging techniques to model and investigate fault slip in induced seismicity
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Application deadline: 23 September 2025 Apply now Are you eager to advance research at the crossroads of language, AI, and geography? As a PhD candidate in the ERC-funded GeoTrAnsQData project at Utrecht
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are looking for an enthusiastic scientist with a strong quantitative background, who shares these views and can help us to collectively (as scientists, veterinarians, students and support staff
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Assistant Professor or Researcher in Quantitative Methodology Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 28 to 40 Application