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a PhD that includes training in quantitative research methods. You will have experience with handling, cleaning, linking and analysing routinely collected healthcare data. You will be experienced in
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Applications are invited for a Research Associate position, funded by the British Heart Foundation Manchester Research Excellence Award, within the Division of Informatics, Imaging & Data Sciences
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developed in our laboratory for subsequent proof-of-mechanism experiments. The successful applicant will have their PhD or equivalent in biology and must have relevant laboratory experience in molecular
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Learning, AI, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or master’s degree in computer science with evidence of a strong grounding in
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the NHS. You will need to have obtained (or be about to obtain) a PhD in economics, health economics or a similar discipline, with a substantial quantitative element. You will also need to demonstrate
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, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or a very strong Masters degree with relevant work/project experience in Machine
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The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to the role of Lecturer in Artificial Intelligence
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statistical analysis of the data and the production of manuscripts. Suitable candidates will have a background in statistical genetics and bioinformatics with a PhD in a relevant subject. The candidate will
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interactions with surface waves. You are required to hold, or about to obtain, a PhD (or equivalent) in physics, engineering, or applied mathematics. The successful applicant is expected to have experience
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primary cultured hepatocytes. These in vitro data will be subsequently used to inform mechanistic physiologically-based pharmacokinetic and pharmacodynamic (PBPK-PD) models, enabling bottom-up predictions