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-timescale optimization, and integrated Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation
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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 Take the next step in your research career
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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modelling and computational neuroscience to human mobility behaviour; Modelling how people build and update internal representations of urban space; Integrating behavioural data with neurophysiological
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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. Cryptographic protection mechanisms for collaborative inference and fine-tuning, employing secure multiparty computation or homomorphic encryption to ensure that model updates, gradients, and intermediate
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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in materials synthesis, advanced scattering and spectroscopy, electron microscopy, solid-state NMR, electrochemistry, property measurements and computational modelling. Its research spans battery
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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cooling, and two-phase cooling for very high heat fluxes. You will develop and use Computational Fluid Dynamics models in combination with analytical and reduced-order models, and contribute to publishing