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1-year fellowship in Shoebill Conservation Genetics with support for a further 3-year PhD fellowship
Your position The shoebill is an iconic bird species endemic to central eastern Africa, with the southernmost breeding population remaining in Zambia. Despite its large distribution area, the bird
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. The University of Leeds is part of a large consortium of 24 partners from 7 European countries, consisting of leading international universities, research organisations and leading international energy companies
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remaining 50% on multidisciplinary research related to large load site selection and energy/resource strategies (demand-side analysis), including emerging topics such as data center energy needs
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will engage in implementation science research, analyses of large claims and electronic health record data sets, pharmacy data, social determinants of health, for epidemiologic and pharmacoeconomic
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-level proficiency in R (and/or Python) for data wrangling, modelling, visualisation, and reproducible reporting workflows demonstrated capability in managing and analysing large, complex datasets with
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communication skills in English, with demonstrated experience in scientific writing - essential for data analysis and communication with stakeholders At least one first-author publication in an internationally
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approaches, you will investigate how gene expression variability drives drug-tolerant subpopulations. This role sits at the intersection of molecular genetics, chemical biology and data science, with strong
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viruses in high containment, with appropriate cell biological and/or biochemical skills pertinent to the study of protein function. The successful applicant will join a large, interdisciplinary laboratory
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violence and young people’s sexual cultures Supporting the design, administration and management of a large-scale quantitative survey, including data handling and preparation for analysis Assisting with
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analyses of quantitative data Preferred qualifications Experience working with large and/or longitudinal datasets Experience with statistical programming (e.g. R or similar software) Experience with coding