383 data-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions in United Kingdom
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Field
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to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc
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opportunity for candidates to pursue an independent research programme in quantitative finance, and in particular data science applied to quantitative finance. Postholders will be concurrently elected
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candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling
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data collection and management. Proficiency in statistical analysis (e.g., R, Stata) and/or data management software (e.g., ODK, SQL) is also essential. This appointment will require regular travels
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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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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