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or related areas. The ideal candidates will have extensive experience in microscopy, micromanipulation, growth of microorganisms, and dynamical systems theory. Fixed-term: The funds for this post are available
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P. Grey in the Yusuf Hamied Department of Chemistry, working on a project focused on understanding solid-state ion dynamics and phase transformations in lithium- and sodium-ion battery electrode
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P. Grey in the Yusuf Hamied Department of Chemistry, working on a project focused on understanding solid-state ion dynamics and phase transformations in lithium- and sodium-ion battery electrode
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are carried by electrons) and biological systems (where signals are carried by ions). This research will cover theoretical models at many scales including electron dynamics, soft-matter physics, materials
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allowances, flexible working, pension scheme and relocation package (if applicable). Job category/type: Research Job reference: Q07290 Faculty of Health and Life Sciences This new full-time post is immediately
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or spatial profiling; Mouse genetics and in vivo experimentation; Lineage tracing, clonal dynamics, or immune repertoire studies Candidates should hold (or be close to completing) a PhD in a relevant field
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programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning, epidemiology
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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning