115 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "UNIV" Postdoctoral research jobs at University of Oxford
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at the intersection of artificial intelligence, multi-omics integration, and cellular systems modelling. Based at the Big Data Institute (BDI) at the University of Oxford, the successful candidate will join the Ideker
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We invite applications for up to two Postdoctoral Research Associates to work with Professors Ulrike Tillmann, Vidit Nanda and Heather Harrington on an exciting project in applied topology for data
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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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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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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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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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of extension by 1 year. This project involves searching new particles using the data from the ATLAS experiment at the Large Hadron Collider. The successful candidates will analyse data from the ATLAS experiment
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of human samples collected as part of this clinical trial must comply with the Medicines for Human Use (Clinical Trials) Regulations 2004 and will provide the primary endpoint data that will dictate
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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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experimental protocols; test hypotheses and analyse scientific data from a variety of sources; contribute ideas for new research projects; develop ideas for generating research income, and present detailed