95 parallel-computing-numerical-methods "Institute of Computer Science" positions at Utrecht University
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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22 Jul 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Informatics Computer science » Programming Language sciences » Linguistics Language sciences
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results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD project conducted at WUR and provide context for visualisations of historic landscapes developed by a
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to this. The gathered data will provide new insight in the exact timing and variability in past landscape changes. Your results will furthermore contribute to computer simulations of coastal dynamics in a parallel PhD
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(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 funded by a EU programme Is the Job
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background in epidemiology and quantitative methods, solid programming experience in R. The project is part of a national research program on pesticides and health. For the analyses of child cognition, you’ll
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time. We're looking for a candidate with a strong background in epidemiology and quantitative methods, solid programming experience in R. The project is part of a national research program on pesticides
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you excited to develop cutting-edge AI methods that contribute to solving global
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Join the Mathematical Institute of Utrecht University! As Assistant Professor in Applied Mathematics. you’ll develop your research programme, inspire students and advance education. Collaborating
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challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune