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. Hands-on experience of specialist biophysical methods, such as FRET, FLIM, AUC, SPR. F4. Hands-on experience of STED imaging and image processing. F5. Hands-on experience of cryo-ET sample preparation
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of the post is developing back-side illuminated Ge(Sn)-on-Si Single Photon Avalanche Diodes (SPADs) to be integrated with read-out integrated circuits to enable SPAD cameras for LiDAR imaging. Ge(Sn) materials
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techniques including behavioural analysis, functional imaging, and brain stimulation. Together, these are used to provide a picture of the unique and privileged processing that occurs to memories offline
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of clinical and research imaging. A4 Basic understanding of relevant clinical trial and medical device legislation. A5 Knowledge of Health and Safety legislation. Desirable: B1 A PhD in a relevant area with
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, including animal models of hypertension and PE, cell culture, imaging, molecular biology approaches as well as RNASeq and other ‘Omics’ datsets and bioinformatic and pathway analysis. This PhD project will
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qualification in diagnostic imaging. Desirable: B1 PhD (or other evidence of research training). B2 Fellowship of the Higher Education Academy. B3 Hold a relevant teaching qualification. Skills Essential: C1 High
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their phenotypic outcome in relation to diseases using super resolution microscopy and single molecule imaging. Later in the PhD we will map the transacting proteins and signals required for localising the more
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evolution and patient survival outcomes [2-4]. This PhD project will seek to investigate the prognostic value of spatial immunophenotypes in lung cancer combining high-plex imaging, spatial data analysis, and
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systems to the brain imaging of human behaviour and cognition as well as social level investigations. PhD: 3-4 years full-time; 5 years part-time; MD (Doctor of Medicine): 2 years full-time; 4 years part
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immunology, viral ecology, clinical virology, virus epidemiology, mathematical modelling and bioinformatics. PhD: 3-4 years full-time; 5 years part-time; MSc (Research): 1 year full-time; 2 years part-time; MD