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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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be able to demonstrate their right to work in the UK prior to commencing employment and obtain the right to work in the UK. Information on other visa options is available at www.gov.uk/check-uk-visa
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Midwife will work in antenatal and maternity settings to identify eligible participants and provide information about the study. You will obtain informed consent in line with ethical and regulatory
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of supply chain sustainability, artificial intelligence in supply chain management, supply chain digitisation and data analytics. For roles at Assistant Professor level the successful candidate will hold a
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of PMI, CIPP (full or part qualified), HND, Degree, NVQ4 or basic professional qualification and sound understanding and experience of integrated computer-based pension schemes. This full-time post is
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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