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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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to work on related methods, including development of simulation-based analysis and computational methods. You will work closely with a multidisciplinary team, including clinicians, epidemiologists
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Job Purpose To make a leading contribution to the EPSRC-funded project “Designing Interaction Freedom with Active Inference (DIFAI)”, working with PI Professor Roderick Murray-Smith and Co-Is Dr
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: Plan and carry out research in TRXPS. Data analysis (e.g., Data visualization and fitting transient data). Manuscript preparation and presentation of results at national and international meetings
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. This research will help assess SRM’s risks and benefits, supporting informed climate action. The Post: One full-time position (36 months) available for the QUESTION project, with a negotiable start date on 5th
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emergencies PCOS SEVa – a national programme addressing variation in the quality of care for polycystic ovary syndrome (PCOS) Role Summary Work within specified research grants and contribute to writing bids
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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from the traditional chemicals industry to pharmaceuticals and personal care products. About this Modelling Role This post-doctoral role seeks to advance the systems modelling methods of microbial cells
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Employee assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. We will consider applications to work on a
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comprising chemists with expertise in organic chemistry, reactor design and innovative process analytics, and engineers with skills in fluid modelling, Life Cycle Assessment and sustainability. You will