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are looking to employ a part time Post Doctoral Research Associate who will play a key role in the second phase of the enhanced TFP project, which aims to estimate a prototype Total Factor Productivity (TFP
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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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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
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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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participation, working with PPI, to choose a creative ‘menu’ of participation modes, e.g., a digital pinboard for images and memes and recruit parents, children, and clinicians to participate in qualitative
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track record in molecular techniques such as genomics, proteomics, transcriptomics, as well as bioinformatics and bacterial imaging. Main Duties and Responsibilities Perform the following activities in
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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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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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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