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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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) in causal inference (e.g., statistics, econometrics, epidemiology, bioscience, data science), or a relevant quantitative discipline. Essential Application Understanding of non-randomised studies and
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& Engineering Supervising Principal Investigator: Professor Alex Rothman Research project area: Pulmonary Hypertension (PH) The fellow will work on an MRC funded study involving the implantation of pulmonary
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This position is to work alongside Professor Kate Dommett at the University of Sheffield and Dr Amy Orben at University of Cambridge on a new UKRI Taskforce on social media data access
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the application statement when you apply. Essential criteria A PhD in Health Economics (or equivalent research work experience) with focus on modelling (assessed at: application & interview). Experience of using
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PI Where practicable, gather preliminary data to inform design of personal application for individual PhD research fellowship post Prepare papers for journals / presentations either in-house or