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necessary for the benefit of the project; • employ simulations and data analysis routines to analyze your data; • help to establish a scientifically outstanding and warmly communicative
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skillset as necessary for the benefit of the project; • help to establish a scientifically outstanding and warmly communicative interdisciplinary team at the University of Oxford; • publish
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annum inclusive of Oxford University weighting Potential to under fill at grade 06RS: £34,982-£40,855 per annum inclusive of Oxford University weighting The Department of Computer Science seeks to employ
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signalling in regulation of immunity and genome stability. The post-holder will be responsible for managing own academic research, adapting existing and developing new scientific techniques and experimental
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initiative to carry out independent research; be able to work as part of an interdisciplinary team; and have the written and verbal skills necessary to present scientific ideas clearly. Experience in
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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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well as access to the group dedicated computing cluster environment with H100, L40s, and A40 GPUs. This post is funded by the UKRI Future Leaders Fellowship, a flexible long-term public funding scheme
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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signalling in DNA damage and/or immunity responses. The post-holder will be responsible for managing own academic research, adapting existing and developing new scientific techniques and experimental protocols