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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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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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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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. 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 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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the field Ability to independently plan and manage a research project Ability to effectively communicate and work within an inter-disciplinary team Benefits of working University employees enjoy 38 days’ paid
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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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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