767 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" Fellowship positions in United Kingdom
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for this role. This role will involve developing and applying analysis plans using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant
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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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change to delivery of health services. Experience with large datasets and excellent communications skills will be essential for this role. This role will involve developing and applying analysis plans
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prototypes. Top-down 4D characterisation of enamel structural evolution using macro- using multiple techniques at macro-, micro- and nano- scale resolution in macro- and micro-fluidics setups to observe enamel
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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
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have recently developed a new method of statistical analysis for the problem of finding the key genes for disease, with exciting pilot results and promising drug targets for rheumatoid arthritis and
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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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. The successful applicant will use state of the art inference algorithms to design, use and share the findings of epidemiological models that integrate across large and diverse datasets including capture-mark
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seeking an enthusiastic BHF Postdoctoral Research Fellow in Molecular Cardiology to work within One Health Cardiology Research Group led by Prof Jeevaratnam at the Faculty of Health and Medical Sciences
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to