17 linked-data-"https:"-"https:"-"https:" Fellowship research jobs at UNIVERSITY OF SOUTHAMPTON
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, including hybrid physics-informed approaches, to improve the estimation, monitoring and prediction of hydrological variables. Big data integration: Process and fuse multi-terabyte datasets, including
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sounds, and acoustic stimulation. Contribute to reproductive/pollination-linked measures including nectar and pollen metrics. Work closely with the acoustics PDRA to align biological protocols with
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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold
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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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(HDH) School, located at Southampton University Hospital site. Working alongside genomic informaticians, clinicians, and data scientists, you will help drive translational research that has direct impact
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recruitment, regulatory approvals, data collection and integrity, data presentation and working with translational samples. The post is intended to provide valuable training in research governance and
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cutting-edge data from new ground and space-based facilities to address fundamental questions in galaxy evolution? Then this might be the right opportunity for you. The Astronomy Group within the School
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to experimental design, data analysis, and the preparation of research publications, while working collaboratively with researchers across materials science, nanotechnology, and bioengineering. The successful
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will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to understand how climate will
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catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with