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for successful candidates to join are listed below. BRC Theme: Cardiovascular / Imaging & Engineering Supervising Principal Investigator: Professor Alex Rothman Research project area: Pulmonary Hypertension (PH
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Overview We are looking to recruit a researcher with strong background in statistics/mathematics and an interest in Bayesian statistics, causal inference and health technology assessment to join the
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for Life Sciences and Medicine powered by Artificial Intelligence (SPM4.0)” The objective of the SPM4.0 Doctoral Network is to train a new generation of researchers in the science and technology of
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methodological research interests, contribute to the delivery of Masters-level teaching, and supervise postgraduate research students. Candidates should possess a PhD or equivalent work experience in health
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documents; assist with submissions for ethical, governance and regulatory approvals; lead the consent process, data collection and data analysis; and research findings dissemination. You should have a PhD in