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PhD in B-modes of Galaxy Shapes Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 20 September 2025 Apply now The Institute
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scientific programming and numerical / statistical analysis of simulated and observed data. Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to both
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methodology through an integrated research programme across geoinformatics, AI, and geography. The project is based at the Department of Human Geography and Spatial Planning, Utrecht University, and contributes
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part of the ERC-funded project GeoTrAnsQData, which develops the foundations of a transformative GeoQA methodology through an integrated research program across geoinformatics, AI, and geography
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MSc in physics, applied mathematics, environmental sciences, computational science or a related field; excellent skills in scientific programming and numerical/statistical analysis of simulated and
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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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development. You will also apply a coastal dune model (AeoLiS) to dunes in the Netherlands and evaluate how well it replicates historical changes. You will share your results in stakeholder meetings, scientific
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supporting the clinical programme in all activities related to the in vitro production and preservation of equine embryos (ovum pick-up, oocyte maturation, intracytoplasmic sperm injection, IVF, embryo culture
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at Utrecht University. Your qualities You are a motivated team player, have experience in modelling using programming language(s), and have completed your MSc degree in Earth Sciences, Environmental Science
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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