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interactions in the condensed phase and at surfaces, with a particular emphasis on the development and application of first principles and/or machine learning approaches. Research in the Michaelides group
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"Coupled Magnetic Hybrids for Advanced Quantum Technologies", a collaboration with the City University of Hong Kong (CUHK). The aim of the role is to explore how nanomagnetic elements in proximity structures
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the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
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to understand immune microenvironmental interactions; Integration and interpretation of complex datasets in collaboration with computational scientists You will be expected to take a lead in experimental design
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of neuronal reconstruction data. They will interact closely with a similar team in the US as well as experimental groups in Cambridge (Greg Jefferis) and Boston (Meg Younger). Candidates will need to be highly
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that control structure and function at a molecular level in all types of bioactive molecules. We are looking for experts in synthetic organic chemistry who are interested in new challenges and exploiting
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, interactive and international research team based at the Department of Zoology, with strong collaborative links with other groups in Cambridge and beyond. The group's research is focused on the genetics and
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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specific to mental health EHRs. The team conducts research using de-identified EHR data acquired through the Clinical Records Anonymisation and Text Extraction (CRATE) and Clinical Record Interactive Search
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analysis of linguistic data Theoretical and empirical implications of the datasets for publication purposes Close interaction with the research team in Cambridge, India and Frankfurt The successful candidate