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of crystallization and glassy dynamics. In collaboration with theorists Prof. Juan Garrahan (UoN) and Prof. Kranthi Mandadapu (UC Berkeley, USA), the project will build on previous work [J.G. Downs et al PRL 127
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. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof. T. Carlomagno) Contribute to writing bids for research funding Acquire, analyse
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part of the ‘REMIX -TUNE - Redefining The Role Of Mixing In Ocean Overturning And Ventilation’ ERC Consolidator project, which seeks to leverage emerging sensor capabilities of autonomous profiling
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publications reporting these findings, and present your work at international science conferences. Your research at Leeds will form a central role of a large international consortium project lead by Prof Hogg
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Desirable criteria Experience of advanced statistical and/or machine learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial
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until 31 August 2028. Informal enquiries should be directed to Prof. Tim Minshull (tmin@soton.ac.uk ) We are proactive in fostering a culture of inclusion, respect, and equality of opportunity. We select
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machine learning. Supervision will be provided by Prof. Ali Mazaheri, as well as Prof. Fang Gao Smith, and Prof. Helen McGettrick. The successful candidate will have a strong background in psychology
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phosphorylation levels. The project is embedded in a larger international collaboration funded by the MJFF (USA), involving two PIs at UCL (UK), Prof Kirsten Harvey and Dr Claudia Manzoni, as well as several
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&PI) Theme of the NIHR Nottingham Biomedical Research Centre (NBRC), Queen’s Medical Centre, University of Nottingham. This is an exciting opportunity to join the MR&PI team led by Prof Dorothee Auer
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing