139 postdoc-data-mining Postdoctoral positions at University of Oxford in United Kingdom
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). This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis
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12.00 noon on Friday 12 September 2025. Informal enquiries may be addressed to Professor Edmond Walsh: edmond.walsh@bnc.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk
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good understanding of the relevant basic theory, skills in data analysis and numerical modelling, and a strong research track record. Please direct enquiries about the role to: Only applications received
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information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ The University of Oxford is committed to equality and valuing diversity. All applicants will be judged on merit, according
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@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on Tuesday 29 July 2025 can be considered. You will be
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid
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enquiries may be addressed to Professor Peter Ireland: peter.ireland@eng.ox.ac.uk For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ The University of Oxford is
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing