373 data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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and synthesis of small molecules and/or compound libraries. Experience in analytical techniques, such as NMR, HPLC and LC-MS. Experience in compound data analysis. Experience in lab project supervision
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expertise in identification, sampling and analysis of XRF, Pollen, NPP, plant macrofossil and isotope data. Post-doctoral research experience in archaeological or environmental science. Proven ability
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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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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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to the jurisdictional lead, and will work across four Work Packages, developing partnerships with schools, project partners and other groups, and using mixed methods to collect and analyse new data and synthesize
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, clinically validate, and prospectively evaluate, a novel in-silico tool that uses patient imaging data to reconstruct personalised ‘digital twin’ cardiac models to provide pre-procedural ablation target
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Epidemiological Research: Design and undertake epidemiological studies using routinely collected data, managing research projects from conception through to completion. Support Clinical Trials: Contribute
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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of Healthy Dads Healthy Kids in Scottish prisons. The successful candidate will significantly contribute to data collection, data analysis, write-up and dissemination of results. They will collaborate with
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and