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-fidelity battery system model ready for future digital twin development. The tasks including but not limited to: Battery cell and system level models for both mature off-the-shelf (NMC) and emerging new
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Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam
Bertone? GRAPPA is looking for an ambitious Postdoctoral researcher. The successful candidate will help advance theory and computational modelling of compact binaries in astrophysical/dark matter
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housing workflows. This includes plugin development for parametric modeling, structural logic integration, and cross-scale design automation. Your research will contribute to digital tooling that supports
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Copernicus Hyperspectral Imaging Mission for the Environment (CHIME). The goal is to explore how CHIME’s rich spectral capabilities, when combined with disruptive technologies such as foundation models
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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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on “Personalised healthy diets through data sciences and artificial intelligence”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine
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abandoned gas fields that are potential storage sites. Robust screening procedures are necessary to select the most suitable reservoirs in terms of geology. Using advanced geological modelling and numerical
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for Affordable Housing Development project, you will be responsible for developing digital design tools and systems that support modular housing workflows. This includes plugin development for parametric modeling
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combine prospective LCA with material flow modelling to develop scenarios and methods that can better guide technology development. These methods will be applied to the innovations developed by partners
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focused on modeling multidirectional loading in anchors for floating offshore wind turbines. The role is part of the European project TAILWIND (tailwind-project.eu) and aims to integrate experimental data