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of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the intersection of AI Safety and Data-Centric AI. We aim to make large
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“drivers”, including health behaviours, hobbies, school experiences, and neighbourhood safety. Survey data are integrated with socio‑demographic and administrative records, including ethnicity, free school
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has recently been awarded by the European Commission. For information about this project can be found here: https://www.agriscience.fm Your duties and responsibilities: Familiarise with the state
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applicable across emergency preparedness and response settings. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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from NUIT) for safe and secure data storage of large bioinformatic datasets and ultimately deposition in online repositories prior to publication. Create and maintain useable and shareable version
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Modelling, Applied Statistics, Linguistics, Data Analysis, Large Language Models, Machine Learning. Start date: 1st October 2026 Deadline: 30th April Duration: 36 months Funding: Funded Funding towards
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Project summary: Project examines whether Large Language Models (LLMs) embed systematic political ideologies that influence their financial judgements. Extends a novel auditing framework to measure
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information, please see here: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency-preparedness-and-response Supervision team: Dmitri Nepogodiev (Associate
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across disciplines An independent, self-motivated approach to research You'll gain skills spanning dynamical systems theory, data science, earthquake science, and soil ecology, working with large, real
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data acquisition, or lithium-ion battery degradation analysis. Familiarity with EV, energy storage systems, or smart energy technologies. Experience working with large datasets, data-driven modelling