372 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" Fellowship positions in United Kingdom
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and synthesising data from individual research studies Ability to use AI to support evidence synthesis, including as part of research to evaluate AI Demonstrable ability to attract and secure research
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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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contexts and contribute to rigorous welfare assessment frameworks for practical use. Analyse Complex Data: Perform advanced statistical modelling and neurophysiological/behavioural data analysis to test and
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-based posts. The research project will utilise DNA methylation data from three large, Scottish studies across both blood and saliva (~35,000 samples in total). The researchers will: Build epigenetic
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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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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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, 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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degree (e.g. infectious disease modelling, epidemiology, medical statistics, health data science, applied health economics, mathematical modelling in another sector) or have equivalent relevant experience
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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
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data for research, behavioural science, implementation science/knowledge mobilisation, advanced evidence synthesis (network meta-analysis, individual participant data meta-analysis). We are seeking