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group aims to determine regulatory pathways affected by disease by implementing the use of spatial proteomics combined with transcriptomics and live imaging. The total proteome of a neuron includes a vast
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The Role The successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects
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We wish to appoint an exceptional person to join the Magnetic Resonance Imaging (MRI) team within the Neurological Disorder and Imaging Section to provide a novel and proactive approach to data
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experience of the laboratory delivery of multiplex imaging datasets of tissue samples as well as significant laboratory experience of general methods including immunoassays and cell culture. You will have
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techniques, multispectral flow cytometry, and bioinformatic analysis of transcriptomic (RNAseq) datasets. Experience with image analysis, particularly for immunofluorescence, is desirable. You should be
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the acquisition and analysis of (clinical) MRI data, as well as with mathematical modelling, image processing methods and/or machine learning. Experience of methods used for quantitative MRI and/or previous hand-on
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and Immunity and work under the supervision of Dr Abhinay Ramaprasad (Principal Investigator). Malaria parasites proliferate within red blood cells through schizogony, a remarkable and unique process of
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prototype Total Factor Productivity (TFP) measure that includes non-market agricultural outputs and impacts beyond environmental indicators. The ideal candidate will hold a PhD in agricultural economics
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Team Leadership skills Desirable: D1 Acquisition and analysis of FLIM-FRET dataD D2 Image processing skills relevant to motion artefact correction D3 Computer interfacing of electronic devices Experience
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with strong expertise in molecular, cellular, biochemical biology and imaging. Candidates should be highly motivated individuals with excellent communication skills and have the ability to work