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this technology and create stand-alone units within washroom and cleanrooms. We will develop widefield fluorescent imaging techniques to segment contamination from instruments, with automated multi-spectral overlay
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with biologists. You will report to the engineering lead on the project About the role The project will aim to develop fluid walls and associated automation workflows to enable microscale cell-based
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to receive applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please check your spam/junk
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of an automated workflow to determine the drug susceptibility and resistance liabilities of novel antifungal drugs, across a wide range of fungal pathogens, both alone and in combination with existing antifungal
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of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to contribute to the development, optimisation and implementation of an automated workflow
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approximation theory can be automated by a (neural network) guided search over the action space of standard tools (e.g., Hölder inequalities, Sobolev embeddings, ...). Certain proofs in these fields require
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at lab scale and pilot scale, automation of reactor systems and data recording systems. You will be expected to manage your own academic research and administrative activities. This involves small scale
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process, via automated emails from our e-recruitment system. Please check your spam/junk folder periodically to make sure you have not missed any of our updates. What to Submit All applicants are asked
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Opportunities to produce high-quality publications Development of multidisciplinary skills in statistical modelling, machine learning, AF imaging and Raman spectroscopy and clinical translation of automated
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application We prefer to receive applications online. We will update you about your application at various points throughout the selection process, via automated emails from our e-recruitment system. Please