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Infrastructure refer a friend bonus * About the role Working closely with the Climate Action team, this is an essential role using data analysis and face-to-face influence to support the university to meet energy
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and futures of this global South city as located within the remit of other global South cities elsewhere. For more information about the project, its current team members, and the direction of its
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strategic mindset, with the ability to interpret complex information and spot opportunities A proactive, self-directed approach—comfortable managing multiple projects independently and adapting to changing
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and interpret research findings and results from existing data Collect pilot data and demonstrate proof of concept for new methods Main Duties The responsibilities may include some but not all
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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from
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Network to evaluate the long-term effectiveness and implementation of Creating Active Schools in Bradford. You will co-coordinate large-scale quantitative data collection, lead a field team, engage schools
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leadership of senior operational managers and oversight of maintenance performance, budgets and asset data quality. You will bring substantial experience in asset management, estates or building maintenance
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’, and to several ML-based projects at the British Antarctic Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. Role Summary Implement and
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) data Genetic epidemiology and Mendelian randomisation studies (with support from senior scientists) Undertake meta-analyses. Conduct meta-analyses in R or Python across a range of cardiometabolic topics
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will have hands-on experience in research teams, scholarly publications, conference presentations, and robust coding practices including version control and reproducible data pipelines. Proficiency in