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Field
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the utilisation of upcoming facilities such as the Square Kilometre Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research
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force spectroscopy methods (e.g. optical tweezers, magnetic tweezers, or atomic force microscopy) is a plus; interesting in developing a biochemistry skillset to enable interdisciplinary research
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-holder. To work with the Principal Investigator or Grant-holder and other colleagues in the research group, as appropriate, to identify areas for research, develop new research methods and extend
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to advance interdisciplinary methods, theories, and approaches for researching moving bodies. Further information about the Moving Bodies Lab is available . All researchers appointed by the Institute
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. There will be elements of data curation, management, and analysis, supported by a post-doctoral Research Associate and other members of the research team. The Research Assistant will work closely with our
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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. Familiarity with neurophysiological research methods (e.g. EEG and/or EMG), including participant setup, data acquisition, and preliminary signal quality checks. Experience with data management and research
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determinants of health, health outcome disparities faced by communities, and mixed-method approaches, and candidates able to display a keen interest in the health outcome disparities faced by rural and coastal
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cryo-EM, cryo-ET, FIB milling, and biochemical methods to understand mechanisms of dynein-2 transport, building on recent advances in the group (NSMB 2017 PMID 28394326; NSMB 2019 PMID: 31451806; Cell
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of period pain on the lives of adolescent girls and their school engagement. The project, led by Dr Abbie Jordan, aims to use a mixed-methods approach to understand barriers to school engagement during