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STARS and HSMA STARS is an Open Science project that aims to increase the quantity and quality of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will
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’ (PHOENIX), led by Associate Professor Thomas Aubry (University of Oxford). Using a combination of laboratory experiments, field work and numerical modelling, PHOENIX aims to improve our understanding
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. Desirable criteria Experience working with generative models or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design
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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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United Kingdom Application Deadline 16 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Hours Per Week 37 Is the job funded through the EU Research Framework Programme? Horizon
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rigorous, collaborative research aligned with project goals. Develop and apply deep learning models, particularly in computer vision, NLP, and multimodal systems. Publish in peer-reviewed journals and
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Nuffield Department of Clinical Neurosciences (NDCN), MRC Brain Network Dynamics Unit, Mansfield Road, Oxford The post holder will develop computational models of learning processes in cortical
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in