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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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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
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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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vision for future research and practice in the visual and material medical humanities. We understand visual and material to refer to both artefacts (including but not limited to images, objects and