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& International Health is seeking to appoint a Research Assistant to support the Vulnerable Newborn Stillbirth Collaboration (VN-SB) LSHTM core team. The Vulnerable Newborn Stillbirth collaboration is a network of
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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research networks such as the Centre of Data and Statistical Science for Health (DASH) (https://www.lshtm.ac.uk/dash ) and the Multi-City Multi-Country Collaborative Research Network (https
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labour markets, family economics and/or development; Good knowledge of applied econometrics; Experience working with large micro data; Experience using statistical software Stata or R, at advanced level is
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uncertainty. Relevant areas include interpretable probabilistic, causal, Bayesian, and knowledge-based networks. While expertise in electromagnetics is not essential, applicants must be willing to broaden
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desirable if the post holder has experience in the development of production-quality software, computational Bayesian inference, and strong communication skills. For more information see the detailed job
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information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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management of anemia, a leading causes of morbidity and mortality globally. The postholder will be part of the international BloodCounts! Consortium, a collaborative network of partners across multiple UK
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, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan
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environmental epidemiology research team at LSHTM to work on the new HEARTH project: National hub on net zero, health and extreme heat, which is funded by UKRI and NIHR. This is an exciting opportunity to be part