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Number BAP-2026-482 Is the Job related to staff position within a Research Infrastructure? No Offer Description In the last decade, ML models taking inspiration from the brain and biological neurons have
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Primary supervisor - Dr Thomas Anthony Haynes Pellet-clad interaction (PCI) is a complicated phenomenon, relatively poorly captured in current commercial fuel performance codes. Models have been
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environmental challenges? Join the Department of Physical Geography at Utrecht University as a PhD candidate and help shape the next generation of geospatial modelling. Your job Predicting ecosystem dynamics
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of our PhD community. This is what you'll be doing You'll work on modelling and monitoring of pollinators in Dutch landscapes as part of an EU-funded Life project PolliNature. In this project, several
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for condition monitoring and prediction, along with better risk criteria can reduce uncertainties and offer a possibility for increasing the transformer loading. KSP UPLOAD will investigate key failure mechanisms
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is the development of hybrid models that combine our integrated national model of Denmark with AI-based methods to improve predictions of floods and droughts. We seek to enhance our ability to predict
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, etc. A major direction of interest is their electronic properties, which are the major driver behind many applications. However, the accurate assessment and prediction of electronic transport is a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Science (MarDATA). MarDATA’s interdisciplinary focus spans supercomputing, modelling, (bio)informatics, robotics, statistics, and big data methodologies. Doctoral researchers benefit from a structured
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. The study of quantum particles in restricted geometries has become a pillar of modern low-energy physics, exemplifying how theoretical predictions can be realized in the laboratory and how, in turn
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to inform novel parameterisations which will ultimately be integrated into meso-scale weather models to aid in the design and performance prediction of future multi-gigawatt offshore wind installations. PhD