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the perspective of the generation and propagation of (Fisher) information. You will join a major Programme sponsored by the UK’s Engineering and Physical Sciences Research Council - becoming a member of a broader
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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. Responsibilities will include: systematic reviewing and evidence synthesis, project management (coordination and reporting), maintaining high quality research procedures, qualitative and quantitative data collection
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microscopy, X-ray diffraction), high-temperature mechanical testing. You should have a strong motivation to conduct interdisciplinary research at the interface of materials science, data science, and
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WellthLab . The WellthLab's mission is to explore how interactive technologies can support people to feel, how they feel, better. Our philosophy is to design for a minimal data dose, and our main methodology
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, currently comprising 16 staff members, over 10 postdocs, and around 20 PhD students. Research in the group includes black-hole and neutron-star physics, gravitational-wave source modelling and data analysis
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/ epidemiology/ healthcare or social science related subject, and experience in qualitative and quantitative data skills in health research. Applications will be considered from candidates who are working towards
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meta-epidemiological study to investigate the impact of placebo blinding in randomised trials of respiratory infections in primary care. The postholder will identify eligible studies and assist with data
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to integrate these systems for global-scale quantum communication and information processing. Informal enquiries are encouraged and can be directed to Dr Patrick Ledingham (p.ledingham@soton.ac.uk ). The ORC is