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exciting opportunity to contribute to a major regional innovation programme while working as part of a dynamic and supportive team within the Sir Peter Rigby Digital Futures Institute. This role will be
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cutting-edge research at the intersection of RL and LLMs. You will also design and run experiments to improve LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion
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to real-world actions. This is an exciting opportunity to contribute to foundational work at the intersection of AI safety and autonomous system deployment. You will be responsible for designing experiments
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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of Computer Science. The research focus of our group is on software architecture, software design and software engineering. Our team currently consists of 9 scientific as well as 2 administrative colleagues. We put
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design, statistical sampling and analysis of large, multi-taxa biodiversity datasets. Expertise in landscape-level biodiversity and production analyses using R, QGIS, Google Earth Engine. Extensive
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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assays to be undertaken efficiently within petri dish and micro-titre plate format under fluid walls. The candidate will work with other team members to develop relevant biological workflows and design
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research productivity appropriate to your career stage, and possess excellent written and verbal communication skills. The ability to work independently and collaboratively, plan and deliver research
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of Pharmaceutical Science (IPS) is concerned with gaining a detailed understanding of the human pathological state and employing this knowledge to discover, design, develop and deliver drugs to the patient with a