60 information-security "https:" "https:" "https:" "https:" "Keele University" research jobs at UNIVERSITY OF SOUTHAMPTON
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of Electronics and Computer Science at the University of Southampton as part of the group of Prof. Kees de Groot and Dr Ruomeng Huang. This postdoctoral fellowship is part of the EXPRESS (Exploiting Single Source
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barriers experienced by disabled people, (2) map and evaluate existing party initiatives and best practices, (3) explore to what extent formal rules and informal norms render parties ableist institutions
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David Baldwin, investigating the effects of transcranial direct current stimulation in patients with depression. This is an excellent opportunity for a candidate with strong research and organisational
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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The University of Southampton is committed to excellence in all we do, applying our insights and inventiveness to solve the most complex societal and environmental challenges. As a world-leading
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Salary: AMNL £46,675 to £80,081 (for those below ST3 on 3 August 2016); CADT £65,048 to £73,992 (for those at or above ST3 on 3 August 2016). The University of Southampton Faculty Of Medicine is
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Project summary An exciting opportunity is available to join the laboratories of Dr Salah Mansour and Dr Ali Roghanian at the University of Southampton. We are seeking a collaborative and motivated
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We are seeking highly motivated post-doctoral researchers of high calibre to join our research program working in the area of electronic textiles. The role is suited to candidates from either
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning