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generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Soft Matter and Wetting Group headed by Prof. Robin Ras
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regularly interact and collaborate with theorists working on materials and device modelling, spectroscopists, materials scientists and chemists also working on the project to ensure a continuous and
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and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000 individuals, some tracked for more than a decade. You will be responsible for advancing and
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progression. This work will focus on the unique Novartis Oxford MS (NO.MS) dataset, the largest and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000
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specific behaviours, analysing and interpreting imaging data to support neuroscience research objectives, collaborating with interdisciplinary teams to develop and optimize imaging protocols, and performing
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culture models as their primary experimental system. The project will be co-supervised by Dr Ivo Lieberam (CGTRM) and Prof Juan Burrone. About the role This role is for a qualified & experienced scientist
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. Joachim Hermisson. We are looking for an independent scientist interested in mathematical modeling in the areas of evolution, evolutionary ecology, quantitative genetics, and/or epidemiology. The ideal
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(WiC), a world-leading institution specialising in population research. You will join a dynamic research environment comprising over 60 scientists from more than 20 countries and representing a wide
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, presentations, and public engagement, while working closely with a collaborative team of scientists, clinicians, and engineers. We are looking for a motivated and versatile researcher with: A PhD in biomedical
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and includes patient and carer views to support staff and students in our mission. Our staff include clinical and non-clinical scientists with a wide range of expertise. Their research has been