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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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to target specific transcription factors (iii) use of high content imaging and AI to phenotype these cultures (iii) use of bulk and single-cell RNAseq to characterise the transcriptional profile of each cell
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to convert CO2 into valuable bioproducts, advancing sustainable bioeconomy. It heralds a paradigm shift on sustainable production of chemical compounds, food and materials to displace fossil fuels
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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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galaxy samples from optical and near-infrared imaging data • Demonstrable ability to use photometric redshift codes • Demonstrable expertise in measuring photometry and determining galaxy properties
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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 Medical Research Council and Medical and Life Sciences Translational Fund. It offers an exciting opportunity to work in a vibrant multi-disciplinary team that crosses the domains of clinical imaging and
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pharmaceutical formulation and the use of optical and fluorescence microscopy for the imaging of biological cells and tissue is essential. Experience in the culturing of bacterial cells and in basic cellular
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requires experience in single-molecule imaging biophysics and expertise in at least two of the following: nanopore technology, optical microscopy, machine learning, mass spectrometry, complex optical set-up
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Mueller matrix pathological microscope. Among other activities, this will involve investigating liquid crystal-based systems, intensity adaptive optics techniques, whole-slide imaging/scanning systems