571 data-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Oxford
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Information More information on the role and the full selection criteria can be found in the Job Description. Applications for this vacancy are to be made online. You will be required to upload a CV and
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible
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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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About the role As a system administrator, you will play a critical role in supporting, maintaining and developing the computer systems upon which all the Department’s IT operations depend. Your work
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administrative activities. You will adapt existing and develop new scientific techniques and experimental protocols, test hypotheses and analyse scientific data from a variety of sources, and review and refine
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initiative to find solutions to problems, or to progress key tasks. They will have an excellent standard of computer-literacy, and will have the ability to handle numerical data with confidence and accuracy
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ability to write clean, well-documented analysis code. Ability to work with EEG data and apply multivariate methods to extract meaningful measures relevant to memory and consolidation. Skilled in developing
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environment, along with excellent organisational and time management skills to manage competing priorities and meet deadlines. You will demonstrate strong attention to detail and accuracy in data entry and
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian