18 high-performance-quantum-computing-"https:"-"https:" PhD scholarships at Utrecht University
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PhD Position in Computational Modelling of Fungal Evolution Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 14 April 2026 Apply now
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23 Jan 2026 Job Information Organisation/Company Utrecht University Research Field Computer science Philosophy » Ethics Researcher Profile First Stage Researcher (R1) Application Deadline 9 Mar 2026
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Experience with viral genomics, phylogenetics, Bayesian or likelihood-based inference, infectious disease modeling, or high-performance computing. Our offer a position for 18 months, with an extension to a
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like Geolab and Earth Simulation Lab , and to excellent high-performance computing facilities. We are a lively department that hosts an active early career community (PhD-students, researchers and
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PhD Position in Sequential Decision-Making Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 15 May 2026
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excellent high-performance computing facilities. We are a lively department that hosts an active early career community (PhD-students, researchers and lecturers). We organize a warm welcome for every new
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how Europe measures economic well-being at the local level. In this project, you will develop innovative small area estimation methods to produce high-quality composite SDG indicators, combining survey
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Climate Center network. Your job We seek a PhD researcher to conduct high-quality economic research on water-resilient landscapes, with a focus on the economic assessment of Nature-based Solutions (NbS
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project, including the identification of relevant case studies; conducting high-quality empirical research (archival research and cultural analysis); contributing to the development of a theory of the queer
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these signals with their transcriptional programs. You will use a variety of techniques and tools, including microscopy and fluorescent imaging techniques, transcriptomics, metabolite profiling and high