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robust causal inference methods. Based in London at LSHTM, the post-holder will be embedded within the Electronic Health Records Research Group and will work closely with external collaborators. The post
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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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detection models, with a focus on achieving generalisable multimodal understanding in zero-shot settings. About You The successful candidate must have a PhD (or equivalent) in the field of computer vision or
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of £42,500 - £47,500 per annum, depending on experience, inclusive of London Allowance. About You You will have a strong background in medical or life sciences with a PhD or business qualification or
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Materials Science, a large School with 100 academics and 60 postdoctoral research staff. There are around 1500 undergraduate and postgraduate students and 260 PhD students. These are supported by
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with 120 academics and 70 postdoctoral research staff. There are around 1371undergraduate and postgraduate students and 233 PhD students. These are supported by an administrative and technical staff team
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scientific career. Demonstrable knowledge and a PhD (or close to completion) in the field of stem cell biology is essential. Previous experience in cardiovascular biology, molecular biology and
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taught postgraduate students and 180 PhD students on the London campus. These are supported by an administrative and technical staff of circa 45. The staff and student body are international in make-up
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Technology Laboratory (DSTL), Electromagnetic Environment (EME) Hub. About You Applicants should have a PhD in modelling hypothetical scenarios, with and without data, for structured decision-making under
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, and OpenSAFELY, and to develop and apply the new generation of analytical methods to study environmental health risks and climate change. The post will provide opportunities for interactions with