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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or
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staff and the adults with learning disabilities that they support. The post requires experience of conducting recruitment and data collection in large studies and previous experience of working with
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help supervise associated PhD students. The successful candidates will join large, supportive research teams led by Profs Knight, Screen and Connelly all working collaboratively at Queen Mary. This is an
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, working with some of the world’s largest single-cell data assets, and in the context of the world’s largest longitudinal population studies, many hosted here at the Big Data Institute, as well as other
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further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
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Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large longitudinally collected sequencing datasets (both
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project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing (https://adsolve.github.io/ ). The role involves developing methods
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of Engineering and Physical Sciences at HWU. The position is open in the context of a large research project aiming to develop a new generation of computational imaging algorithms intended to deliver
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, handling and processing of large data sets, knowledge of data acquisition systems, signal and image processing as well as experience in measuring acoustic pressures in cavitating liquids and high-speed
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive