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‘Work, Welfare Reform and Mental Health’ programme. This involves collaborating closely with an interdisciplinary team of researchers as well as the Centre’s academic and community partners, as part of
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in statistics with a strong track record in methodological leadership in digital trials to contribute to a globally pioneering programme focused on maternal and early childhood health. The post holder
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clinical trial statistics, including dose-finding, experimental medicine and proof-of-concept studies. Develop and an internationally recognised programme of methodological and applied research. Collaborate
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, healthcare, and industry to drive innovation and maximise translational impact. The post holder is required to hold a PhD degree in statistics, biostatistics, epidemiology, health data science, or other
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of junior statisticians. You will also contribute to teaching, provide PhD and MSc supervision and contribute to improving statistical skills across the Faculty. You will be associated with the UKCRC
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and access appropriate training and professional growth. About the role This is an exciting opportunity for a talented individual experienced in the practice and communication of sound statistical
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geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven