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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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design and have the opportunity to demonstrate its performance by studying key catalytic reactions important to the energy transition. Previous experience of adapting/developing vacuum instrumentation and
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deploy models symbiotically with experimental researchers to optimise design and manufacture of Li air electrodes and cells. This will include image-based modelling of electrodes, and finite-element
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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integrating multi-modal perception and tactile feedback, for locomotion and manipulation. You will be responsible for the design, development, implementation and evaluation of learning-based loco-manipulation
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with other researchers in designing behavioural tasks and neuroimaging/neurostimulation experiments for investigating the neural mechanisms underlying emotional approach/avoid choices. You will use fMRI
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of cells and modules in realistic drive cycle scenarios. This activity will link closely with the design of BMS and cooling systems to maximise the safety of the developed propulsion system. You should
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. Research on this project will involve catalyst design, setting up small-scale hydrogenation reactions in batch and continuous flow, immobilisation of enzymes, combination of enzymes with metal nanoparticle
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focus on ambitious, ‘blue sky’ research for novel methods development relevant for drug discovery analysis pipelines, trial design and operational efficiency. Led by Professor Chris Holmes, and with
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, and market and protocol design. The postholder should hold a relevant PhD/DPhil or be near completion in one of the following: Economics, Finance, Operations Research, Statistics, Econometrics