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Please open the attached 'Job Description' document below to view the full information for this post, including the responsibilities of the role and a more detailed insight into the work of the Future
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal
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, educational achievement, emotional wellbeing, mental health, and quality of life. In this project we will use linked routinely collected health and education data to address gaps in our understanding about
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measurement requirements, and with the modelling PDRA to support model parameterisation and interpretation of simulation results. Maintain accurate experimental records, contribute to data curation and support
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have collected rich data for understanding the preferences of citizens regarding which policies their governments ought to enact, as well as for investigating where these preferences do and do not exist
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suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa
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data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation protocols for plant
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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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’, 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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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