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, Professors Ruth Keogh and Kate Walker. Applicants should have a postgraduate degree, ideally a PhD, in medical statistics, epidemiology, health economics or a related field. Relevant experience in applying
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. Provide full customer service to all applicants including advising and guiding candidates through the admissions process, positively influencing their views of our Programme and School. Arranging interviews
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About the Role The post holder over sees the management of the database system that supports the maintenance and growth of the engagement of one of Queen Mary’s largest stakeholder audiences, our
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Right to work: Please note that it will not be possible for the University to issue a Certificate of Sponsorship to the successful candidate for this position. Therefore, the appointable candidate
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-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with
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informing not only potential human work but also work performed in other veterinary species. The successful candidate will have a strong background in ex vivo tissue models and/or 3D culture systems and will
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-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving
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order to gain novel understanding of the molecular mechanisms underlying disease. About You You will have a PhD (or equivalent qualification) in computer/statistics/data science or similar field. You will
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delivers measurable value. You will lead a high-performing team to build advanced analytics capabilities, including propensity modeling, marketing mix modeling (MMM), incrementality testing, and multi-touch