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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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’ (HEPPI-ML), which is funded through the ‘Weather and Climate Science for Service Partnership ’ (WCSSP) programme. It is also linked to the National Institute for Health and Care Research (NIHR) project
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of knowledge by undertaking a specified range of activities in relation to the Historic England’s funded KNEWA (Developing Knowledge and Networks for the Expansion of Wellbeing Archaeology research project
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candidate has either analytical or computational skills (exact diagonalisation or tensor network techniques) and research experience in either many-body quantum physics, statistical mechanics, statistical
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closely with civil engineers, computational modellers, physicists, and geophysicists to organise trials addressing scientific research questions. Work with asset owners will also concentrate on determining
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strategies in low-resource settings. The project offers a unique opportunity to work at the intersection of statistical methodology, epidemiology, and global health, within a vibrant international network
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Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a
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Disparities Consortium, a major UK-wide programme addressing inequalities before, during and after pregnancy across five research themes and two cross-cutting workstreams. 3) Interface with the NIHR Global
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participating in collaborative networks & academic/industrial secondments. Role Summary Work within specified research grant: UKAEA Chair project in Birmingham, led by Prof. Enrique Jimenez-Melero, in support of
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development at national and international level; and/or (b) involves development of industrial links and comparable networks and initiatives In addition, research responsibilities will include some but not all