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, fundamental research and/or studies involving matters of scientific urgency. Information and application Are you interested in this position? Please send your application via the 'Apply now' button below before
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departments and schools · Collect and analyze data · Write and submit scientific papers and abstracts, as well as submit grant proposals · Presents ongoing work and findings to colleagues and at academic
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usability and accuracy, as well as conducting field tests to validate their effectiveness. Additionally, the research will explore the economic viability of these sensors to enhance real-time data collection
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. They include e.g. research and specialist skills training, communication skills, personal effectiveness, wellbeing training, impact and engagement, data and analysis and career planning. You will formally
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Doctoral Landscape Awards (IDLA) programme and is in partnership with Johnson Matthey. About HetSys: Harnessing Data, Modelling and Simulation for Real‑World Impact HetSys (Centre for Doctoral Training in
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and phylogenetic constraints on mycorrhizal strategies. In this project the PhD will combine controlled plant–fungus experiments with microscopy, physiological measurements, and quantitative data
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sizes and frequencies by: Measuring rock fractures from UAV data using manual and automated mapping approaches (e.g., machine learning, convolutional neural networks). Monitoring physical weathering
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central role in collecting and analysing quantitative data from employees trialling shorter working weeks. They will examine how working time reduction affects wellbeing and perceptions of work in diverse
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performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
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of SOPs and process documentation. Coordinate efforts with Duke’s GMP Cell therapy Facility. Contribute to preclinical IND-enabling studies. Manuscript preparation. Data analysis Maintain accurate