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degradation understanding, especially for micro-mobility systems. It also looks at building the capability of management of large volumes of multimodal data by designing and validating efficient and scalable
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analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu, Philippines, for more than 40 years. Recently generated genome-wide methylation data will be used
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have experience developing and running large numerical models and analysing complex datasets? Would you like to work with a world-leading team at Leeds to connect molecular-scale insight to cloud-scale
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for postdoctoral fellows, please visit the UMB Benefits Summary . Job Summary: Fellows will engage in implementation science research, analyses of large claims and electronic health record data sets, pharmacy data
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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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, large language models, prompt design, adaptive systems, data analysis, experimentation, and research software prototyping. Ability to translate research concepts into practical technical designs
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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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15th June 2026 Languages English English English PhD Research Fellow in Information and Communication Technology for Development (ICT4D) Apply for this job See advertisement About the position A
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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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-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