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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would
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by Research Asst. Prof. Nilanjana Sadhu. This role involves quality control and analysis of large-scale proteomic data generated using affinity-based and mass-spectrometry-based methods. The Research
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of mycobacterial enzymes and large protein complexes. Set up and perform cryo-EM experiments, including data collection, processing, and structural analysis. Provide mentorship to students and junior researchers in
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with the PIs and autonomously, and will be proficient in advanced econometric techniques, leveraging large datasets. The Postdoctoral Fellow reports directly to faculty in the Digital Reskilling Lab and
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statistical methods, data analysis and regression modelling. You will have experience using large complex datasets, data linkage, data cleaning, and the capacity to write high quality journal articles and
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-photon calcium imaging and virtual reality in awake behaving mice. Analyse in vivo large-scale two-photon calcium imaging data sets combined with behavioural data (pupil diameter, speed, motor movements
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clustering—across large registry datasets, generating outputs that inform cancer policy and health service planning. The Fellow will lead specific projects, contribute to north–south data harmonisation
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the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling methods that combine historical
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Agency. The project aims to use energy and air quality modelling, indoor environmental quality data, large health data sets, and co-creation and engagement with schools and other stakeholders to provide
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We are seeking a Research Fellow – Statistical Data Scientist to join the Big Data in Health Group at the University of Southampton. The Fellow will work on a UKRI-funded project investigating how