399 data-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions in United Kingdom
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Field
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collaborative and self-motivated research assistant/fellow for an exciting opportunity to coordinate an international innovative network of data linkers and analysts and support public engagement activities
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maximum biological insight from their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational
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they will conduct experimental vaccination regimes, infection of cattle with trypanosomes, and generate and analyse data relating to these experiments. With collaborators at the Pirbright Institute
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recruitment activities, teacher training, and ongoing monitoring and support for schools (including school visits) Collecting and summarising data, data management and quality control, sharing key information
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modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as FDS and ANSYS
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the biomechanics of current treatments for craniosynostosis. The role will use advanced approaches including computer simulation, manufacturing, imaging, sensing, and in vivo experimentation. Applicants should hold
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information on the Habershon group is available at: go.warwick.ac.uk/habershongroup Please direct informal enquiries to Prof. Scott Habershon (S.Habershon@warwick.ac.uk ). About You You will have a strong
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The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data linkage project
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physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium
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health challenges across the island of Ireland. The focus of the role will be on quantitative analysis of air pollution, health, demographic and socio-economic data, together with primary data collection