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statistical code Contribute to methodological work around cluster randomised trials Contribute to generating academic publications, and reports Contribute to public understanding of virtual wards, COPD
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time experiments. Experience of working in an interdisciplinary team. Experience with supervising and mentoring more junior researchers. Beneficial Criteria Experience in coding (e.g. Python, C, Fortran
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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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Demonstrate proficiency in R/BioConductor and High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control) Ability to assess resource
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Support the curation of research data and code in line with a quality management framework Contribute to generating funding through contribution to writing further grant/funding bids to support ongoing
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Prof. Fredros Okumu (University of Glasgow/Ifakara Health Institute) to develop and test new methods for trial design and analysis. Developing statistical models and code to run the proposed methods
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in phonon calculations Experience of the VASP Code Experience of kinetic Monte Carlo Experience of Grain Boundary Modelling Experience of working with High-Performance Computing platforms Experience
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can be tackled. A video describing the project can be viewed here: https://www.youtube.com/watch?v=IzPuuBnrIDc . The successful candidate will be developing Bayesian models for estimating
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qualitative software (such as NVivo) to manage and code data Apply knowledge in a way that develops new understanding of dementia care delivery Support co-design activities with stakeholders in community-based
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code are transparent, well-documented, reproducible, and openly shared with the scientific community. The role also offers opportunities to contribute to teaching and training activities across