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: 12 September 2025 Apply now Are you a data scientist interested in designing and implementing process-informed machine learning and uncertainties quantification methods? Join us as a postdoc and work
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: simulating carbon reduction potential at parcel level under climate change scenarios across Europe; design and implement geospatial hybrid and mechanistic modelling frameworks using process-informed machine
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topic, the central research question, the methodology to be employed, and the connection to UCALL's research programme. The final design of the research will be determined in consultation with UCALL's
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conferences, and academic journals. Your project will lead to better predictions of future coastal dune development and enhance the design and implementation of nature-based solutions. To support academic and
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Chaperones are protein complexes that assist other proteins in their folding process. Well-known examples are the bacterial GroEL/ES and the eukaryotic TRiC. Despite extensive research, there are still
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and AMOC changes at decadal to millennial timescales. This project may include participation in seagoing expeditions. This project is part of the 10-year EMBRACER research programme funded by the Dutch
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suggestions for this innovative project in your motivation letter. This project is part of the 10-year EMBRACER research programme external link funded by the Dutch Research Council (NWO). At EMBRACER, we work
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your motivation letter. This project is part of the 10-year EMBRACER research programme funded by the Dutch Research Council (NWO). At EMBRACER, we work at the very frontiers of knowledge on climate
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that complement your work. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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Scientific Programmer Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 32 to 32 Application deadline: 3 September 2025 Apply now Does your