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Field
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computational and theoretical analysis using a range of techniques, as well as collaborating with the other members of the wider project team. To be successful in this position, you will have: PhD qualification
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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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emulators for accelerated forward modeling Advanced data-intensive machine learning and AI techniques for survey analysis Applications to major international surveys, including LSST (Rubin Observatory
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University of Surrey. You will be working on a 5-year project (funded by EPSRC) building digital twin models of a full aircraft engine, running on the UK’s supercomputing services. There will be both
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The role An exciting Research Fellow position is available at the Bristol Interaction Group (BIG), University of Bristol, a leader in Human-Computer Interaction (HCI) and accessibility research
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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
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the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics or chemistry, or
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The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is
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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory analyses for latent spaces formed from neural, genetic, and behavioral data