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Responsibilities Provide timely and accurate administrative support for all Degree Education and PhD courses offered by the department. Liaise with the Central Services team and Programme Offices to ensure efficient
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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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About the Role Data integrations are the beating heart at the center of all QMUL applications – allowing the sharing of data between systems & interoperability of our platforms. The Integrations
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PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have experience
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About the Role Data integrations are the beating heart at the center of all QMUL applications – allowing the sharing of data between systems & interoperability of our platforms. The Integrations
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on national and sub-national survey data collected through a new Gates Foundation-funded initiative at the Vaccine Confidence Project, focused on the Immunisation Metrics and Monitoring Systems (IMMS
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degree, who hold an ACVECC Diploma. A background in research work in one of the College’s areas of special interest or hold a PhD, although desirable, are not essential. We offer a generous reward package
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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with
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You The successful candidate will have a PhD (or soon to be awarded), or equivalent experience which has involved significant practical cell culture, and ideally experience with molecular biology
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the sustainability and impact of generative AI at LBS. Main Responsibilities Involved in ongoing delivery of broader initiatives as set out by the School's Data & AI strategy, and Technology Strategy. Define and