28 parallel-and-distributed-computing-"CNR" Postdoctoral positions at Utrecht University
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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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postdoctoral researcher in the NWO KIC project STURDI-Water (Storage, Upgrade, Reuse and Distribution of Water in regional collaborative networks), you lead research aimed at identifying the key success factors
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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 related to staff position within a Research Infrastructure? No
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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 related to staff position within a Research Infrastructure? No Offer
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about understanding
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research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific writing skills in English
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: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 funded by a EU programme Is the
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Biological sciences » Biology Computer science » Informatics Computer science » Programming Researcher Profile Recognised Researcher (R2) Application Deadline 16 Oct 2026 - 21:59 (UTC) Country Netherlands Type
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-year postdoc project, funded by an NWO Open Competition Large grant, will be conducted in the Developmental Psychology Program at Utrecht University. Your job Today’s young people are coming of age in a
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measurements and/or Computational Fluid Dynamics (CFD) simulations. Specifically, you will assess where simplified assumptions in the model fall short. You will then train a machine learning model (such as PySR