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specialist knowledge and experience in data acquisition, signal processing, and data analysis from wearable or non-wearable sensors and devices. You must be able and willing to travel away from Oxford, often
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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crystalline resins for use in two-photon polymerization. New forms of imaging hardware will be utilized in collaboration with partners to provide greater understanding of the polymer network morphology and how
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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access to world-class imaging facilities and a vibrant interdisciplinary network. Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk ). Only
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access to world-class imaging facilities and a vibrant interdisciplinary network. Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk). Only
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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focus on developing and calibrating new protein sensors of cytosolic metal availability, which underpin the "metalation calculator ", and expand their applications to different microbes. The work
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in Germany, to create powerful THz receivers. This outcome will not only create a step change in signal-to-noise performance but will allow scaling of the sensors to create multielement arrays
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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor