17 coding-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" Fellowship positions at University of Manchester
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and stakeholder-facing materials with the wider project team. This is an exciting opportunity to contribute to conceptual, theoretical and methodological innovation in political communication and
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work closely with a research team working on a Medical Research Council funded project which aims to characterize non-coding regions of the genome that confer risk to osteoarthritis using functional
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Collaboration for Greater Manchester (NIHR ARC-GM), based at the University of Manchester. NIHR ARC-GM aims to undertake timely, needs-driven and transformative applied health and social care research to
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for Greater Manchester (NIHR ARC-GM) based at the University of Manchester. NIHR ARC-GM aims to undertake timely, needs-driven, transformative applied health and social care research to benefit
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level, within the field of sustainable polymers and related materials. Contribute to teaching within the School (at an appropriate level) and develop their teaching and supervision skills through the
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Investigator. Conduct both qualitative and quantitative analysis. Develop articles, blog posts and executive summaries based on the literature reviews and relevant data analysis. Coordinate the data
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data collected in the Karoo Basin (South Africa) and other exhumed systems and subsurface systems from the North Sea/NCS, to develop models of deep-marine lobe successions as fluid flow pathways and
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experienced postdoctoral researchers to generate ideas and supportive data to underpin applications for prestigious intermediate fellowships (e.g. the Career Development Award schemes funded by MRC or
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We are seeking an ambitious researcher to take up a five-year fellowship developing next-generation cer-cer and cer-met nuclear fuel materials within the Nuclear Fuels Centre of Excellence at the
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new cohort study, the Early Intervention Mission, that is being funded by the Mental Health Mission, that will be looking to streamline routine outcome data collection from all people within the OEIS