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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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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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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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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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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
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and versatile AI systems and user-friendly software able to automatically process images from still photos and videos and export detailed reports incorporating statistical analysis. You will also use
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research, combining membrane-protein biochemistry, molecular biology, biophysics, genomics, cross-linking mass-spectrometry, bioinformatics, live-cell imaging and structural biology (X-ray crystallography
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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