215 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" PhD positions in United Kingdom
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industry and research bodies to drive innovation across all UK manufacturing sectors, from SMEs to large global manufacturers. For details, visit the MTC website . Contact For further information on this PhD
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mass spectrometry experimental data, creating a unique multi-stranded methodology to map out free energy landscapes associated with protein folding in environments spanning gas-phase to microsolvation
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Actions English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: Contributions
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and competition. Due to the paucity of data on nutrition and health needs of e-sports athletes, this project aims to understand the demands of e-sports, lifestyle practices of e-athletes, and potential
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the synergistic effects of monoclonal antibodies and colistin. Building on extensive preliminary data, the project aims to uncover the mechanisms behind this synergy using advanced biophysical and molecular
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opportunities to learn about the ethics of this research, implementation of the tasks, data processing, analysis and interpretation, and to present findings and disseminate results. In addition, there will be a
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sponsors own security checks before starting the PhD. Start date: 5 October 2026 Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and
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working. You will hold a PhD in a health or science related field with experience in designing and conducting research using a range of research methodologies, together with experience in data collection
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data from saltmarsh and mangrove estuaries. Evaluate the impacts of restoration design decisions in real estuary settings. Compare multiple estuaries to assess how context influences restoration outcomes
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intensity of these changes. This PhD project will ultimately enable aircraft to reroute safely and efficiently in real time as weather evolves. By merging scientific machine learning, large-scale data