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requirements, relying, for example, on increased granularity and lower material budget. You will play a leading role in evaluating the performances of a number of prototype test structures and stitched sensors
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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are: development of in vivo imaging assays for understanding efficacy of novel antifungal drugs, assay development, determination of resistance liabilities of novel antifungal drugs, via both in vitro and in vivo
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London, https://www.kcl.ac.uk/bmeis , working
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exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim to investigate the role of mechanical sensing and memory in cardiovascular disease. The postholder of this British Heart
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fluorescence-lifetime detection (Fast-FLIM) and temporal focusing. This instrument will deliver quantitative, sub-second imaging of live three-dimensional cell-culture and organoid models, advancing fundamental
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, regenerative biology, or olfaction Interest in microbiome-host interactions Experience of molecular biology PhD in a relevant area Experience of imaging Team worker Desirable criteria Original research
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course