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biology, bioinformatics, genomics, statistics, physics, or a related quantitative field Demonstrated ability to analyse large-scale sequencing data using R, Python or equivalent A self-motivated team player
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in the unique UCL 1946 (including insight 46), 1970, and 1958 birth cohort datasets Support other workstreams (RCTs of blended online interventions. Support dissemination activities across the grant in
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University, ANCHOR network The position includes secondments of 6 months at University College London (UCL) and 4 months at Altice Labs (Portugal), providing direct exposure to both academic and industrial
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University, ANCHOR network The position includes a secondment of 12 months at University College London (UCL) to develop international research collaboration and extend network. In addition to research duties
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biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and clinicians at Great Ormond Street
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About the role: Applications are invited for a 4-year postdoctoral research position to work collaboratively between the teams of Alexis Barr (MRC LMS) and Maria Secrier (Dept. of Genetics, UCL). We
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international research environment at NorHead. Our collaborators include leading research groups in the UK, Denmark, and Spain – including the world-renowned High-Dimensional Neurology Group at UCL Queen Square
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Professor Andrew Stockman (UCL), as well as with technical support staff. As part of a friendly team of graduate researchers, the candidate will interact with PhD students and will be assisted by a Post
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, prior distributions and posterior predictive checks, model comparison, programming in R (python/Matlab), implementations using R-packages rstan/JAGS and brms/STAN or equivalent interfaces. References
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across the University of Oslo, industry partners and University College London (UCL). The successful candidate will work with and further develop the electricity system model highRES to analyse the role