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We are seeking a researcher to work on the EPSRC-funded ESPRESSO project (“Efficient Search over Personal Repositories - Secure and Sovereign”). The post is based at the School of Electronics and
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Search over Personal Repositories - Secure and Sovereign”). The post is based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating
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academia on structure-property relations and ageing behaviour of 3D-printed solid materials suitable for high voltage applications. Materials manufactured this way have no track-record when it comes to long
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behaviour change interventions. Your knowledge of health-related behaviour theories will be essential. You will have experience in recruitment, data collection, and thematic analysis, including focus group
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The long-term structural integrity of steam generators in high-temperature reactors critically depends on the performance of advanced austenitic stainless steels, particularly under creep and creep
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responsibilities Engage in the full research cycle: developing theories of change and logic models, determining outcome measures, securing ethics approval, collecting and analysing data Evaluate the young researcher
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devices. CDI synchrotron experimentation on devices experience. A working knowledge of a scientific computing language such as Python. Knowledge of quantum materials and the related underlying theory
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spiking neural networks, alongside autonomous learning approaches. Develop approaches to optimise the structure of a given artificial spiking neural network, to support their deployment onto state
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the opportunity to expand their skills in bioinformatic analyses. The project will focus on the identification of plant genes that can be linked to the host’s microbial community structure and function
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spiking neural networks, alongside autonomous learning approaches. Develop approaches to optimise the structure of a given artificial spiking neural network, to support their deployment onto state