10 image-coding-"the"-"U"-"Humboldt-Stiftung-Foundation" positions at University of Glasgow
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structural biology and a genuine enthusiasm for interdisciplinary research. The successful candidate will make a leading contribution to the project “Imaging macromolecular dynamics across scales to unravel
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, this role will: * Investigate and develop approaches to retrieve and analyse traditional (spatial) and new forms of data (unstructured), for example from social media (images and text) and citizen
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Centre (ORC), University of Southampton with a particular emphasis on using silicon core fibers for imaging with undetected photons. The expectation is that this partnership will develop a new platform for
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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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vacation residents, and other commercial guests in the course of your working day. Cooperative working with colleagues from your own and other departments Promote a positive image of the University at all
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correct “codes of practice”. Prepare regular security incident management reports and briefings for “hand over” and recommendations for action, where appropriate. Deliver friendly, professional, customer
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correct “codes of practice”. Prepare regular security incident management reports and briefings for “hand over” and recommendations for action, where appropriate. Deliver friendly, professional, customer
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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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Methodology The samples will be obtained from core repositories or collected by fieldwork, and analysed at Glasgow and other laboratories in the UK and internationally. Work will include conventional imaging
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IPhD) Supervisor: Dr Andrew Hamilton MSc choices: Biomedical Sciences [MRes] , Biomedical Sciences [MSc] Research areas: fundamental cell biology, non-coding RNA, mitosis, cancer, CRISPR, RNAseq Project