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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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2025. We seek to recruit a Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based
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the use of mathematical modelling of infectious diseases. The post-holder will work closely with partners within the Global Polio Eradication Initiative to ensure that research is focused towards supporting
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-ranging role. The post leads on all aspects of data collection, technical management, reporting and modelling for LSHTM’s Research Excellence Framework (REF) submissions, particularly the outputs submission
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science projects aligned with the university’s strategic and operational goals Take ownership of data analysis workflows including data extraction, preparation, modelling, and reporting Promote data
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response and infectious disease modelling. This role has an initial term of three years and 0.4 FTE time allocation. (2) Faculty coordinator for Health Data Science. This involves coordinating research and
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for an enthusiastic and highly motivated Research Fellow to join the world-leading tuberculosis (TB) Modelling group at LSHTM. The successful candidate will be supervised by Dr Rebecca Clark and Prof Richard White and
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evasion thus supporting bacterial pathogenesis. We will characterise the antibacterial and anti-host activities of the T6SS and selected effectors using in vitro and in vivo models, deletion mutants and
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health researcher is sought with expertise in quantitative surveys, mathematical modeling in nutrition (especially in Sudan), and crisis clinical nutrition program management. The ideal candidate should
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The University of London The University of London is the UK’s largest provider of international distance and online learning and the convenor of a federation of 17 London-based universities, many