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collaborative and supportive research environment. Person Specification Essential Qualifications PhD (or near completion) in engineering, computer science, physics, applied mathematics, or a related discipline
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one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or be very close to completion, in ML, statistics
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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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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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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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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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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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novel methodologies and techniques appropriate to the type of research being pursued Supervise and examine PhD students, both within the institution and externally Lead sustained high value impact