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-GLOBWB and the integrated assessment model IMAGE3. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated
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creation that controls clogging patterns Developing predictive digital rock physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated
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) Country Netherlands Application Deadline 15 Dec 2025 - 22:59 (UTC) 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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proxy data reflecting surface ocean changes, and simulations of sea level changes using comprehensive ice sheet models. The sea level in the Eemian was much higher than today, 3 to 6 m or even higher
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predictive digital rock physics and permeability evolution models from µCT data using machine learning and computational tools (PuMA/CHFEM/MOOSE) validated against experimental observations Bridging scales
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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 Extracellular vesicles (EVs) are natural, biocompatible carriers with innate
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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 The ECCO project (Empowering Citizen COllectives in societal transitions
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speech, test infants’ reliance on sound cues, and use computational models to simulate the learning of two languages from speech. Your job In the PhD subproject, you work with Dutch-English bilingual
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) Country Netherlands Application Deadline 15 Dec 2025 - 22:59 (UTC) 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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science, Ontology engineering, Computational geoscience, or a related field; a strong interest in conceptual modeling, semantic modelling, ontology engineering, formal logics or cognitive modelling, and some