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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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About the Role As a Lecturer on the Digital and Technology Solutions degree apprenticeship programme at Queen Mary University of London, you will contribute to the intellectual life of the faculty
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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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About the Project We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto join the ground-breaking PharosAI initiative – a £43.6M national programme co
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funded by UK Research and Innovation (UKRI), this programme is part of the government’s strategic effort to position the UK at the forefront of global AI expertise. Our goal is to train PhD researchers
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About the Role This role will involve undertaking the evaluation of a digital social intervention in primary care in England. A summary of the programme grant is found here. The individual will be
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PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant subject area for the research programme; with a productive track record and have experience
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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent
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responsibility for implementing a deep learning work-package as part of a Cancer Research UK-funded programme, developing an image-recognition model to identify morphological features corresponding to clonal
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About the Role We are looking for a Postdoctoral Research Assistant to work with Dr Chema Martin on a Human Frontiers Science Program Research Grant project entitled “Evolutionary Biophysics