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advanced materials research intersects with digital manufacturing, data-driven design and sustainable production. These activities provide strong opportunities to collaborate with the Midlands
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clinical studies and routine health data to assess the economic value of new interventions and healthcare pathways. The post holder will develop research in one or more disease areas (e.g. cancer
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Student Wellbeing, the Students’ Union, HR and academic departments, the postholder analyses institutional data, produces reports (including the annual institutional report), and provides specialist advice
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’, and to several ML-based projects at the British Antarctic Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. Role Summary Implement and
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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in
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interdisciplinary team has a wide range of skills and provides platforms and services for reproducible computational research that covers the entire data analysis lifecycle. You will collaborate with the team
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, integrated budgeting, and resource allocation aligned to strategic goals Forecasting & Financial Analysis: Ability to conduct philanthropic scenario planning and analysis to provide data-driven recommendations
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that priorities are balanced, taking action to deliver agreed deliverables against timelines. Maintain an up-to-date knowledge of project management methodologies. Source, analyse and develop insights from the data