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network with data from existing permanent seismic networks in Greece. Data processing will include implementation of automated detection of seismicity and subsequent derivation of a high-quality seismicity
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the project. The researcher will combine seismicity data collected by a new onshore-offshore temporary seismic network with data from existing permanent seismic networks in Greece. Data processing will include
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stakeholders. You will also contribute to other collaborative research e.g. conducting evidence synthesis using a range of approaches (e.g. systematic reviews, scoping reviews, network meta-analysis). There will
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design, statistical analysis, and results reporting. The role will also involve planning and managing project activities, building research skills and networks, and engaging with academic and industrial
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working options, holiday allowance, and additional university closure days. You will have access to mentoring, career development and networking across the University and beyond. As part of this role, you
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given the opportunity to join the NIHR Academy and access further training and networking activities. The employing organisation is the University of Southampton, which offers a competitive salary
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climate data, simple physics-based models, and AI to deliver more accurate projections of how our climate will warm and recover in a net-zero future. As part of this project, you will contribute to develop
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transmitted by 50%, which will contribute to the creation of Microsoft Azure’s next generation ultrafast datacentres and optical networks. The project aims to address research as well as practical aspects
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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and networking activities. There is an opportunity for one competitively appointed facilitator in one of the three research sites to receive additional academic training opportunities. The employing