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Field
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This project contributes to the EU Horizon Europe project 'Investigating
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recruiting a postdoctoral researcher in AI for fluid mechanics. This postdoc is part of an NWO-funded project on accelerating computational modelling of rarefied (i.e. highly dilute gases), which brings
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) Country Netherlands Application Deadline 7 Dec 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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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 Description The department
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compact models. Compact models are the optimum trade-off between the required physical functionality and computation intensity. As such, they enable the simulation of advanced and high-integration-density
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, accessibility, emissions) with subjective responses (e.g., behavioural, emotional, cognitive). Analyse and model the data to explain patterns of preference, acceptance, and perceived fairness across diverse city
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8 Oct 2025 Job Information Organisation/Company University Medical Center Utrecht (UMC Utrecht) Research Field Computer science » Modelling tools Computer science » Programming Researcher Profile
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38.0 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 Description Job
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University Medical Center Utrecht (UMC Utrecht); yesterday published | Netherlands | about 2 months ago
This is a full-time post-doctoral position (1.0 FTE), initially for 1.5 years, and will be embedded within the UMC Utrecht AI-Lab initiative. Your primary focus will be the development of AI models
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complex socioeconomic, environmental, and molecular data in the context of multigenerational families. · (Co-)developing predictive models based on very large registry, medical, social/environmental