56 data "https:" "https:" "https:" "https:" "Dr" "L2CM" "L2CM" research jobs at University of London
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& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK
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months. The position is funded by Dr Gustav Mogull’s Royal Society University Research Fellowship, “Gravitational Waves from Worldline Quantum Field Theory”. Applicants should have a strong research record
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involves working with a range of stakeholders to develop communication strategies, conduct qualitative and mixed methods research, generate data, analyse findings, and deliver public engagement. The post
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on Hadrian’s Wall, working with English Heritage team based at Corbridge. Connective Frontiers is a four-year UKRI Future Leaders Fellowship led by Dr Anna Walas, which is a collaborative multinational project
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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data and willingness to develop skills in statistical or multivariate analysis are essential. The postholder will work collaboratively with Prof Jesmond Dalli, Prof Ghassan Alusi, Dr Adrian Biddle and
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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Hawkshead Campus Informal enquires are welcome and can be directed to Dr Jayna Raghwani (jraghwani@rvc.ac.uk ) or Dr Lexi Keene-Snickers (lkeenesnickers@rvc.ac.uk ). We promote equality of opportunity and
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different vaccination strategies and assess their cost-effectiveness. The team includes Prof Rosalind Eggo, Dr Edwin van Leeuwen, epidemiologists, modellers, statisticians and data scientists across LSHTM