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responsibilities of the job - Access and analyse national cancer registration data, population statistics, and mortality data by ethnicity. - Calculate ethnicity-specific absolute risk thresholds and estimate
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in both research and education with other UCL departments, including computer science, engineering, economics, psychology, public policy, statistics and medical sciences. About the role The UCL School
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
state-of-the-art wearable devices. Applicants should have strong experience in data collection in applied settings, advanced statistical analysis skills (particularly in time-series data), and proficiency
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. We are looking for highly motivated candidates with a strong academic background in computer science, AI/ML, bioinformatics, or related fields such as mathematics and statistics. Informal enquiries
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the unique opportunity to develop skills in analytical, statistical and data science techniques, working with real world data to provide recommendations for UKHSA on how pharmacy OTC data could be used
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statistics, health economics, or in a scientific discipline relevant to healthcare (assessed at: application) Have demonstrated experience in relevant research methods, for example through publications in peer
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/sociology/biology/environmental sciences/microbiology/statistics/veterinary or human medicine). Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in
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support to develop their research career beyond completion of doctoral studies. Applicants should have a primary degree in a relevant methodological discipline (such as statistics, health economics) or a
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publications Desirable Familiarity with containerisation (e.g., Docker or Singularity) of informatic pipelines/workflows Experience in multiple omics methodologies Understanding of the application of statistical
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FTE, 30 hours per week minimum) and is fixed term up to 31/03/2027. About You You will have extensive expertise in statistics, likely including a PhD, and experience and interest in working in