112 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral positions at University of Oxford in United Kingdom
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), this project aims to characterise the spatial changes in cell and tissue mechanics, as well as gene and protein expression, that occur in lung fibrosis, using spatial multi-omics and mechanical data collected
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it is imperative that samples are promptly received and processed in a timely and rigorous manner, and all data and methodology is recorded in an organised and precise manner electronically
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on patient perspectives and aims to understand the information older people need about the harms and benefits of prostate specific antigen (PSA) testing (ProsDetect II). The second project addresses challenges
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research income generation. You will also have experience in working with large micro databases and grouped data. Experience of independently managing a discrete area of a research project, working in
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situ advanced microscopy of fibre‑based materials. The project aims to develop and deploy machine learning tools that extract real‑time structural and chemical information, enabling deeper understanding
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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demonstrable molecular biology skills. You will be able to design the experiments, execute the experiment using various molecular biology techniques, and help analyse the data. You will have highly effective
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, including a research budget, and act as a source of information and advice to other members of the group on scientific protocols and experimental techniques are highly desirable traits. Informal enquiries may
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-assembly, molecular binding, and catalysis. The project aims to overcome current data and methodological limitations to enable predictive modelling of complex supramolecular systems. This post is fixed term
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field