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Division/Team: Division of Informatics, Imaging & Data Science Hours Per Week: Full Time (1FTE) Closing date (DD/MM/YYYY): 30/07/2025 Contract Duration: 36 Months School/Directorate: School of Health
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The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to a teaching focussed role of Lecturer in Digital
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, vaccines, and devices. As a Research Assistant in Health Data Sciences in the group you will be supporting analyses of real-world health care data by writing analytic study code and contributing to our open
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offers the chance to work with zebrafish disease models, explore new therapeutic targets, and gain invaluable experience in experimental techniques such as CRISPR gene editing, in vivo imaging, and
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volumes. This will be done by studying the flow patterns during mixing of the mycelia inside stirred vessels, using high speed imaging and particle image velocimetry (PIV) experimental set up already in
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of modern biochemical and imaging techniques. This includes: Supporting ongoing projects on the in vitro reconstitution and characterisation of biomolecular condensates. Performing recombinant protein
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imaging techniques. This includes: ¿ Supporting ongoing projects on the in vitro reconstitution and characterisation of biomolecular condensates. ¿ Performing recombinant protein expression and
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‘Postgraduate Research’ in 'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2025’ in ‘Year of Entry’, code ‘7370F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘MPhil Population Health
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of best-practice in coding and working in teams would be a benefit to help facilitate this. The role will sit within the RGP at CJBS. The role holder will work closely with the research faculty leading RGP
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through an understanding of the bigger picture and showing commitment to organisational values. Developing self and others Showing commitment to own ongoing professional development. Supporting and