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basic statistical knowledge. Previous experience in cancer data analysis, machine learning, and exposure to diverse imaging modalities will be advantageous. The role offers training from senior
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degree in a field related to Public Health Nutrition, Epidemiology, or Public Health, with demonstrated strengths in geospatial and statistical methods. Demonstrated proficiency in Stata, R, or other
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of a 3-year program using cardiovascular MRI to assess modifiable mechanisms of aging. Applicants should have an established track record of research in machine learning, statistics and bioinformatics
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addressing complex health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain
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which can also be adapted to students’ interests and experience. Prospective candidates should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing
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skills will give them the ability to work and liaise with young people, parents, schools and study teams as well as being able to write text that can be published. Experience with statistical data analysis
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order to respond to changes in working practices Proven ability in the provision and analysis of statistical information Broad experience, acquired through a combination of job-related training and on
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statistical package would be an advantage. As an employee at the University of Winchester, we are committed to your wellbeing and development. You will have access to a wide range of benefits and support
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Artificial Intelligence systems. Candidates should have a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics or a related technical
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student education. We are methodologically and disciplinarily diverse, with faculty in sociology, anthropology, international relations, political science, statistics, economics, social psychology, social