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An exciting opportunity has arisen for two Research Assistants (RAs) within the Institute of Mental Health. The RAs will be working on the ESRC/NIHR funded DETERMIND programme (www.determind.org.uk
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interest in expanding their knowledge in both domains. (1) Geometry/Topology -related methods in computer science. (2) Machine Learning. (For example, graph neural networks, generative networks, or neural
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to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures of health, well-being, and human
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and plasma diagnostics methods including optical emission spectroscopy, and energy-resolved mass spectroscopy and should be versed in materials characterisation methods including XRD, nanoindentation
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. You will have considerable experience with using High Power Impulse Magnetron Sputtering for thin film deposition and plasma diagnostics methods including optical emission spectroscopy, and energy
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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). Experience with qualitative research methods (e.g., ethnography, qualitative interviews, focus groups, or participatory design). Knowledge of sustainability issues impacting the medical devices industry
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, developing solutions for removing and storing greenhouse gases into the built environment, and developing the life cycle assessment method for quantifying multiple cycles of using building products. Your role
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recruitment strategies for a novel prostate cancer screening study. Prostate cancer is the second commonest cause of cancer death in men in the UK. Currently there is no NHS screening programme, with men
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the goals of HEHTA, the Living Lab, and the Creative Communities programme. Co-create, build, and maintain a digital engagement platform in collaboration with stakeholders from government, healthcare