41 high-performance-computing-"Study-Group"-"Study-Group" PhD positions at Utrecht University
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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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with broad musical coverage to deepen insights into musical style, perception and preferences. Your job The core aim of the project is to design explainable computational models that drive high-impact
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excellent High- Performance Computing facilities. About Utrecht The department and its facilities are located at Utrecht Science Park. Utrecht is the fourth largest city in the Netherlands with a population
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March 2026 Apply now This PhD project aims to develop a nanostructured bijel lithium-ion battery (BLIB) with fast charge/discharge (1 min) and high energy density. Working with 3 PhDs and 1 postdoc
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, and to 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
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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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) Application Deadline 26 Apr 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not
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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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12 Dec 2025 Job Information Organisation/Company Utrecht University Research Field Computer science » Modelling tools Computer science » Programming Geography » Cartography Geography » Human
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approaches suited to high-dimensional and non-parametric data, accounting for non-Gaussian distributions, complex dependency structures, and variability across populations. The work will involve