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About the Role We are seeking an enthusiastic and motivated postdoctoral researcher to apply advanced data analytics and machine learning techniques to real-world clinical data in the field of viral
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Applications are invited for a Postdoctoral Research Assistant with expertise in high-resolution, analytical scanning transmission electron microscopy applied to next-generation semiconductors
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skills in study/experimental design and analysis of complex research data. Detailed knowledge of cardiac metabolism and/or mitochondrial biology Expertise in laboratory analytical techniques in cardiac
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) the motivations and aspirations underlying the development of commercial versus open digital research information infrastructures shaping metadata and data analytic functionalities; (ii) how commercial and open
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including grade 7. Visit the Centre 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
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data sets and climate model outputs Analytical skills, including experience with multivariate analysis, time-series, and geospatial statistics Previous research experience and publication record Ability
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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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experimental characterisation, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics
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skills Good communication skills Experience of scientific report writing and data presentation Human study experience Skills in the development and running of analytical assays Desirable criteria Skills in
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the Blackholistic collaboration, which is funded by an ERC Synergy grant and aims to try and unify accretion and jet formation across the black hole mass range. The collaboration incorporates observations, analytic