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Help shape the future of cancer care through better data. This PhD scholarship offers the opportunity to work with a leading research team using clinical trials and real-world data to build machine-learning models, improve the prediction of treatment outcomes, and promote responsible data...
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postdocs will be part of the Research School. The DDLS program has four strategic research areas: cell and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and
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multidisciplinary team involving investigators from basic science, epidemiology, genetic medicine, nursing, psychology, public health, and sociology from the German, French, and Italian parts of Switzerland
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. The studentship will commence from September 2025 onwards, under the supervision of Dr Rebecca Baggaley and Dr Johan H Thygesen (IHI, UCL), Dr Rachel Burns (Institute of Epidemiology and Health Care, UCL) and Prof
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Applications are invited for a talented Cancer Epidemiologist to join the Centre for Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge. The postholder will
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draw upon the disciplines of public health, epidemiology and health economics. Aims This project will examine the impact of changes to client fees payable to access treatment for opioid dependence via
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economics, health policy, health data analytics. Applicants from other disciplines (e.g., public health, epidemiology, biostatistics) with strong quantitative skills or a willingness to develop them
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Curtin University Background in genetics, bioinformatics, epidemiology, biostatistics, or related fields Demonstrated computational skills and experience with genomic or health data analysis Commitment
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, analysis of clinical and epidemiological data. Funding Fully-paid tuition fees for three and a half years.A tax-free bursary for living costs for three and a half years (£19,237 per annum in 2024/25
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PhD in the epidemiology field Eligibility criteria Undergraduate degree with Honours or Masters in Science with units in mathematics and/or biostatistics Demonstrated coding experience: either