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successful candidate will work in collaboration with two other postdocs on a closely aligned project “Rethinking multi-agent systems in the era of LLMs”, funded by the Schmidt Sciences Foundation, and also
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aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
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computational social choice, and aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will
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and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
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we are committed to supporting the professional and career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of
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projects, with a key focus on the recruitment of research participants. The post holder will also provide support to other members of the research group, including postdocs, research assistants, technicians
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. The scope of the research will encompass aspects such as network monitoring, routing algorithms and network-hardware benchmarking. About you You should possess a MSc/MEng in Engineering, Computer
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postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives designed to provide an exceptional launchpad
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distributed quantum computation. In this project, we plan to push all of these areas further, with experiments in blind quantum computing, quantum repeaters, and enhanced metrological quantum advantage. We seek
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developing new algorithmic approaches for TAPS data, interpreting the results in the context of phenotypic observations, and communicating these findings clearly to the broader team. You will prepare the