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Field
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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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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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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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on sperm function, including motility, acrosome reaction, survival, and viscous penetration assays Analyse and interpret complex experimental datasets using advanced statistical and computational approaches
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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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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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record commensurate with stage of career. Experience of running fieldwork campaigns or manipulative experiments. Ability to communicate complex information in English effectively in oral and written format
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network. It is administered by University of Sheffield and led with investigators in five universities, three major charities and the Office for National Statistics, in close partnership with a large
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, including conducting surveys and interviews, publishing articles, and supporting scientific networks. Candidates should have a relevant PhD degree (or nearing completion) in development studies, human
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supporting scientific networks. Candidates should have a relevant PhD degree (or nearing completion) in development studies, human geography, rural sociology, anthropology, or political science; excellent oral