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activities, and adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and developing new ones. Other responsibilities will include analysing quantitative imaging
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integrated THz technologies for THz time-domain spectroscopy and imaging. The project will unite novel nanowire THz technology from Oxford with unique custom-designed integrated circuits from project partners
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the laboratories of Prof Carlo Rinaldi. You will be well supported by the existing joint team, currently consisting of postdocs, bioinformaticians, PhD candidates, and research assistants. The post holder will be
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an interdisciplinary team working to build this new paradigm of environmentally-friendly and functional living materials, which can be used in diverse application domains. The project team includes leaders in
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of Engineering Science (Headington). The post is funded by UKRI and is fixed-term for up to 24 months. The researcher will work with Professor Christopher Proctor to develop prototype bioelectronic technologies
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cultures. Experience in molecular biology methodologies, following and adapting protocols and setting up cellular assays including image-based is essential for this role, and knowledge of neuroinflammation
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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 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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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