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of subsea power cables subjected to combined 3-dimensional waves, currents, and turbulence. This research will be approached by both numerical and physical modelling of power cable's response. The successful
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are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models using multimodal data including neuroimaging
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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computational modelling and design optimisation. You will run CFD and fluid-structure-interaction simulations. You will develop models, analyse results and collaborate with partners to inform design. The role
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ambitious researcher looking for your next challenge? Do you have an established Are you an ambitious researcher looking for your next challenge? Do you have an established background in modelling
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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ONEHEALTH project, a €9.85M PEACEPLUS cross-border programme. ONEHEALTH brings together Catalyst, Queen’s University Belfast, ATU, Tyndall, University of Galway, and HIRANI to create an AI-driven Life
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) Country United Kingdom Application Deadline 21 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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archaeal genomes, characterizing core and accessory gene dynamics across diverse phylogenetic scales. A key focus will be developing transformer models to capture patterns of prokaryotic evolution, including