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are increasingly being adopted across the NHS. This role is particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics
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are increasingly being adopted across the NHS. This role is particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics
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, Experience Professional experience of working within a similar role. GCSEs to a minimum of grade C/4 in English and Mathematics grade C minimum (or equivalent level 2 qualification). Good IT skills with
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or relevant work experience evidencing the skills and ability to undertake the role. Minimum of grade C/4 in Mathematics and English at GCSE or equivalent. Highly proficient IT skills, in particular the ability
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-edge research in machine learning and automated reasoning for safe algorithmic systems. The Research Fellow will be responsible for developing advanced theory and machine learning algorithms
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and interventions, contributing to the development of a Theory and Practice of Change to guide effective, health-focused transport policy and implementation. The Fellow will: Collaborate with practice
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Anatomy component) or evidence of relevant workplace experience in an HTA-licensed laboratory. GCSE level 2 (A*- C/4-9) or equivalent level 2 qualification in mathematics and English. Courtesy in dealing
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demonstrate the level of knowledge required to carry out the role gained through a series of roles in a commercial food service. Literacy and numeracy skills which may be evidenced by Mathematics and GCSE grade
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deadlines Promotes equality and values diversity acting as a role model and fostering an inclusive working culture. Person Specification PhD (or near to completion) in physics, astrophysics, mathematics
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded