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on glacier behaviour, including extreme events. For this work you should be familiar with image (pre-)processing techniques to obtain high quality quantitative data from time lapse imagery. This may include
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cellular biology approaches. - Analyse tumour samples from pre-clinical models and patient cohorts using high-dimensional platforms, including multiplex imaging, flow and mass cytometry
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of environmental degradation, and make contributions to the medical humanities, environmental history, and global history. The project team will develop an innovative approach which will consider humans, animals
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delivery of research proposals in accordance with the Centre¿s social justice methodology; managing ethical review processes; developing and applying creative approaches; qualitative/quantitative data
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of environmental degradation, and make contributions to the medical humanities, environmental history, and global history. The project team will develop an innovative approach which will consider humans, animals
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. The Wellcome Trust, Medical Research Council and Global Antibiotic Research and Development Partnership (GARDP) have recently made significant investments in our programmes including new approaches to optimise
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as possible thereafter. The Role Drawing on over a decade of formulation data, you will develop machine learning models that link chemical composition and processing parameters to the physical and
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dealing with the large number of plankton types and with unresolved ecological processes especially around mortality. Modern, GPU based, modelling infrastructures provide promise towards running models
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engagement in applied health care research and the literature on health inequalities. You should have a PhD degree in relevant areas of Public Health or relevant disciplines e.g. sociology, psychology
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in