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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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in securing research funding is essential, as is demonstrable expertise in complex modelling techniques such as machine learning, network neuroscience, or related computational approaches. You will
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Full-time: 35 hours per week Fixed-term: 13 months The opportunity: Conduct original research on neuronal networks underlying the processing of natural visual stimuli, using in vivo large-scale two
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be part of a collaborative, interdisciplinary team working across the UK and EU, with access to real-world pilot sites and a network of academic, industry, and community. The Role: As a Research Fellow
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complex information in English effectively in oral and written format. Ability to build relationships to develop internal and external networks. Commitment to continuous professional development
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the Infocomm Technology cluster at SIT. This project addresses the critical challenge of delivering real-time Artificial Intelligence (AI) services in Internet of Things (IoT) networks, where latency and
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to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. Ability to build relationships and collaborate with others, both internally and externally. About Us Join a
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to the UK’s net zero target. RESPECT will achieve this by collating data through novel interdisciplinary collection, modelling and engagement methods. These data will establish the capacity of land and land
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behaviour. The project requires the Research Fellow to work with both commercial and opensource numerical software to accurately predict and capture complex droplets physical behaviour and changes as they go
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on sperm function, including motility, acrosome reaction, survival, and viscous penetration assays Analyse and interpret complex experimental datasets using advanced statistical and computational approaches