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renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance analysis, and contributing to interdisciplinary research on coastal protection, with
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; 2) Supporting the development and application of analytical and data-driven approaches for system condition assessment and performance evaluation; and 3) Assisting in the development and validation
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glycocalyx. Glycocalyces are essential for multicellular life yet remain the ‘dark matter’ of biology, under-studied owing to the historical lack of preparative and analytical tools to probe the local
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Medical Research Institute (SAHMRI). This is an excellent opportunity for an individual eager to develop expertise in big data analytics, expand their methodological skillset, and contribute to impactful
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to groundbreaking studies in Australia and Lao PDR, developing your expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. About the role The role will involve conducting analytical work and collaborating closely with the principal
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degree in area of specialism and normally, a higher degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency
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social care arena (eg: sociology; psychology; criminology; health statistics; health economics; data analytics, data science). Applicants should have experience of obtaining external funding for research
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affected families, or other similar marginalised groups Skills and attributes Ability to conduct qualitative research to a high standard, including data collection, developing an analytical approach, coding
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excited by methodological innovation and real‑world impact. You will hold a PhD in a quantitative discipline such as infectious disease modelling, statistics, mathematical epidemiology, data science, or a