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Field
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melt than greenhouse gas emissions. - The high-resolution regional atmospheric chemistry-transport model CHIMERE will be used to understand the impact of terrain complexity and the spatial variability
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in geomicrobiology modelling: microbial dormancy in Earth's ecosystems and biogeochemistry M/F
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Wageningen University & Research offers excellent terms of employment . A few highlights from our Collective Labour Agreement include: sabbatical leave, study leave, and partially paid parental leave; working hours that can be discussed and arranged so that they allow for the best possible...
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The Mobilab Transport Research group led by Ass. Prof. Francesco Viti at the University of Luxembourg has an opening for a 2-year postdoctoral researcher on Transport Modelling and Simulation
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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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28 Oct 2025 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Spain Application Deadline 11 Nov 2025 - 23:59 (Europe/Madrid) Type of...
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live in. Your role The Mobilab Transport Research group led by Ass. Prof. Francesco Viti at the University of Luxembourg has an opening for a 2-year postdoctoral researcher on Transport Modelling and
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postdoctoral researcher on Transport Modelling and Simulation, starting as soon as possible, to support different projects and the supervision of doctoral researchers in the team. The Mobilab team is a dynamic
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and trustworthy machine learning-based clinical prediction models. Funded by the Medical Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims
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to the Carefree Models Project , a large-scale initiative aimed at improving the resilience, efficiency, and sustainability of predictive models in process industries. Information Predictive models are central to