19 developer-"https:"-"https:"-"https:"-"UNSW-Science" Postdoctoral positions at Utrecht University
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, which requires sediment management. The knowledge and tools needed for this pose profound scientific challenges. Your job The aim of the WadSED project is to develop the urgently needed system
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of Prof. Ine Apapoe (Anton de Kom University) as the Prince Claus Chair under the theme: Equity from Within: Maroon Governance and the Future of Development in Suriname. To support this appointment, we
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2026 Apply now Interested in how geospatial data science and GeoAI can be applied to investigate health system resilience under the rising pressure of polycrisis? Excited about developing spatial models
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ACT! is seeking a postdoc to develop practical tools for assessing circular transition pathways and accelerating systemic change and to monitor the deployment of these pathways. We are seeking a
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develop the urgently needed system understanding, data analysis tools, and forecasting models for science and expert users, and co-create common ground among stakeholders for future-proof coastal management
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dangerously warming world, facing uncertainty about their future. How can we address climate change in our schools? The aim of this project is to develop a transformative approach to climate change education
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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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October 2026 Apply now Do you want to use artificial intelligence, geospatial data science, and urban analytics to create healthier and more equitable cities? Are you excited about developing innovative AI
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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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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR