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Field
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis, to deliver a
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, Mechanical Engineering, and Surgery & Cancer. What you would be doing: The post will support the multispectral imaging theme of the Hub award, and you will be expected to play a key role in developing and
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new techniques, most notably protein crystallography, cryo-electron microscopy, DNA sequencing and monoclonal antibodies. The LMB has a clear goal of understanding biological processes at the molecular
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benefits across the healthcare supply chain. Candidate Profile: A PhD in a related field is highly desirable given the technical complexity and innovation. Skills/ experience required include: Essentialfor
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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tissues • The development of computational methods ranging from image processing to machine learning to analyse, segment, model, and quantify large-scale time lapse datasets Main duties
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Experience in genetics and cloning Experience with advanced bioinformatics tools. High ability to express yourself both orally and in writing. Computer literacy (MS-Office; Imaging Software). Basic experience
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physiological data, as well as with prior experience in participant recruitment and/or experimental testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related
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imaging studies. As part of the UK National Total Body PET Imaging Platform (npip.org.uk), two identical Siemens Total Body PET Scanners have recently been installed at St Thomas’ to complement further PET