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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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,(or close to completion) in a relevant discipline together with experience in LC-MS/MS proteomics. You will have experience in advanced biochemical methods for surface proteomics/subcellular
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plasma channels, and methods for controlling injection of electrons into laser-driven plasma wakefields. This work will be undertaken within the research groups led by Prof. Simon Hooker (Oxford), in
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multiple aspects of work to meet deadlines. You will adapt existing and develop new scientific techniques and experimental methods, as well as contribute ideas for new research projects. You will use
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working with families, professionals and teachers to best support neurodivergent children and young people in different settings. You will lead data collection using quantitative and qualitative methods
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available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease
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and breeding grounds for whales in the past. Using phylogenetic comparative methods and the niche modelling results, the post holder will examine the evolutionary history of ecological niches broadly
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willing to learn new methods and skills and have excellent communication skills. See the job description for the full list of selection criteria. Informal enquiries should be directed to Dr Jani R Bolla
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programming skills and expertise with computational methods for neural/behavioural data analysis. You will have experience in conducting task-based functional neuroimaging and/or behavioural experiments, and
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to state-of-the-art facilities located within the thriving Department and will employ structural biology methods to address the group’s research questions. This is a full-time fixed term post funded by