40 assistant-professor-computer-"https:"-"https:"-"https:"-"https:"-"EURAXESS" positions at Utrecht University in Netherlands
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with modern machine learning. You will work on extending data-driven models with process-informed constraints and novel data integration strategies. The position is embedded in the Computational
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of the European Research Council (ERC) Starting Grant project Care2Act and Assistant Professor in Interdisciplinary Social Science at Utrecht University. You will lead one or more empirical case studies, focusing
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the European Research Council (ERC). The principal investigator is Assistant Professor Dr. Anna Zhelnina. The research team will consist of the principal investigator, a PhD candidate, and two post-doctoral
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the supervision and intellectual development of the PhD candidate and, where relevant, research assistants or interns; engaging with societal stakeholders (e.g., schools, teacher educators, policymakers, sectoral
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the acceptance and use of animal-free biomedical innovations. Combined, the CPBT will run an integrated programme that accelerates the transition to animal-free testing and strengthens the Dutch economy. For our
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2 PhD positions in Statistics Faculty: Faculty of Social and Behavioural Sciences Department: Social Sciences Hours per week: 36 to 40 Application deadline: 26 April 2026 Apply now Help shape
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mechanism underlaying plant interactions with this novel class of microbes. This knowledge will help us understand how to fine-tune suberization patterns for optimal crops stress protection. This ambitious
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candidates follow courses and assist in teaching Earth Sciences at Bachelor's and Master's level. Together these activities amount to twenty percent of the contracted time. Your qualities The project combines
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the Reproductive Genetics team. Your job Your main tasks will consist of supporting a vibrant clinical programme in all activities related to in vitro production and preservation of horse embryos (oocyte recovery
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to genomic and epidemiological data; design controlled computational experiments (simulations and synthetic datasets) to validate theoretical predictions; apply your methods to large-scale viral datasets