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of independently managing a discrete area of a research project, collaborating in the development of research articles for publication, planning fieldwork and contributing to data collection in the field as
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/or directly drive those investigations with simulations and data analysis, as well as providing interpretation of the data. Depending on the specific attitudes and interests of the candidate the job
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targets, by leveraging high-dimensional big data (e.g. electronic health records, multi-omics and phenotypic) from large prospective biobanks including China Kadoorie Biobank (CKB) and UK Biobank (UKB), and
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analysing, interpreting and presenting data. Attention to detail is essential. The postholder will have excellent organisational and laboratory management skills, and will be a team-player able to support
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well as proficiency in MATLAB, Python, or similar for real-time data analysis. Knowledge of implantable neural interfaces, electrophysiology, and stimulation technologies is also essential. Informal enquiries may be
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- the English Case Study investigating SSVS pilot project courts. This includes data collection, including court observation and participants interviews, coding and analysis of data, the development of project
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be addressed to adel.bibi@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 23rd May 2025
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Further information can be found at http://www.eng.ox.ac.uk/jobs/home The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology
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synaptic function and synaptic loss, and keep meticulous, detailed records of your work and commit to engaging with cloud-based analyses on the IMCM data platform. Other duties will include collaborating
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working with primary patient samples and patient derived xenografts. In addition, you will have excellent communication skills including the ability to write text that can be published, present data