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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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models of spillover infection and transmission of prototype viruses representing viral families concern to support the development of methods for virus sequence analysis and inference of human transmission
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Professor Hing Leung and the wider multi-disciplinary research team. We are looking for candidates with experience/strong interests in learning some of the following: deep learning, medical imaging, and
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of mutants by barcode sequencing, flow cytometry and imaging. 3. Develop and establish tailored single-cell RNAseq protocols to study mutant parasite populations. 4. Develop and enhance your research profile
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new paradigm of deployable nanoelectronic devices with unprecedented efficiency and scalability that can be used ubiquitously towards ultra-low energy QC, AI, and neuromorphic computing systems
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and cell biology techniques Experience in planning and delivery of own work allocation, to agreed timescales and quality standards Experience with skin histology, microscopy and image analysis
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cilia function. This exiting project will combine our recently developed centrosome purification method with advanced proteomics and high-resolution imaging to deepen our understanding of these processes
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frequency stabilisation and control, image analysis, data acquisition, optical design and Gaussian beam propagation. Desirable: 4. Experience · Demonstrable ability to develop research proposals
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equivalent. B2 A knowledge of Raman microscopy and/or single cell Raman spectra analysis. Skills Essential: C1 Microfluidic techniques used to manipulate molecules or particles. C2 Instrumentation and imaging
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detection, segmentation, classification, and pose estimation, as well as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video