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                broadly. Responsibilities include: • Supporting data collection and econometric analysis of large survey datasets. • Applying quantitative and qualitative research approaches to study the relationship 
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                , or a related quantitative field, with strong programming skills (e.g. R, Python) and proven experience in analysing large-scale sequencing data. Expertise in phylogenetic analysis, infectious disease 
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                , as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research 
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                close to completing) a PhD in statistical genetics, computational biology, bioinformatics, or a related quantitative discipline, with proven expertise in the analysis of large-scale sequencing data and 
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                We are seeking a Senior Clinical Research Fellow to support DEN-HOST, a large multi-site, multi-country randomised adaptive phase 3 trial evaluating therapeutics in patients with moderate and severe 
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                surveys, early universe and gravitational physics. Good programming experience, an enthusiasm for coding and data analysis, and the ability to work in a large collaboration, are particularly relevant 
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                forefront of AI and ethics. The role focuses on innovative research into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. This is a 2 
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                Internal Applicants Only About the Role Seeking a part-time researcher to support work on a large grant application. This post will support work on a funding application for a large research project 
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                facilitating the laboratory while academically contributing to multiple large research projects in the topic of the “role of sympathetic neural networks in the neurobiological basis of obesity”. The research 
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                niche. You will be involved in designing, developing and implementing high-throughput bioinformatics and machine-learning solutions to analyse large-scale genomic and transcriptomic datasets (bulk and