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Tasks: Develop a workflow in high-performance computational studies and integration into a mixed fidelity experimental high-throughput platform Create a data management platform that connects institutes
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Why apply? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda
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models, and reinforcement learning (RL), which is data-driven, are two powerful control techniques. MPC techniques are well-established, while RL techniques are gaining popularity due to increasingly
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that merge thermo-fluid dynamic laws, deep learning, and experimental data. A central goal is to overcome current limitations in TES operation and optimization, enabling discovery of new high-performance and
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co-design workshops with men from Black backgrounds and lower income backgrounds, in communities across Yorkshire. You will lead data analysis within the team and help develop targeted recruitment
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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Dr Faye Smith, Professor Cristina McKean (Oxford University) and colleagues from the Children’s Public Health Service in North Tyneside Council. See the ECLS website for more information about the
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on global and regional temperature. However, so far, such model-data comparisons chronically suffer from a lack of field data describing regional and seasonal hydrological regimes under past warm climates
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
function of these cell envelopes for several bacterial species. The most powerful models have several parameters set from experimental observations, in this case data gathered through the use of electron
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after