503 machine-learning-and-image-processing-"RMIT-University" Postdoctoral positions in United Kingdom
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Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM
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of collegiality Desirable criteria Extensive experience with confocal microscopy and live imaging Experience with biomechanics concepts and techniques such as AFM, micropipette aspiration and/or nanoindentation
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experience with confocal microscopy and live imaging Experience with biomechanics concepts and techniques such as AFM, micropipette aspiration and/or nanoindentation Current Home Office Personal Licence
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using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights into human biology and may in the future lead to improved
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applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications. You must hold a
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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to understand the functional requirement for these pathways using a range of methods including cutting-edge single cell and imaging techniques. Ultimately this information will provide fundamental insights
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drugs. Areas of interest are: development of in vivo imaging assays for understanding efficacy of novel antifungal drugs, assay development, and determination of resistance liabilities of novel antifungal
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid