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disciplines and sectors. More information can be found at www.ukri.org and www.mrc-lmb.cam.ac.uk. Closing date: 07/09/2025 Final appointments will be subject to a pre-employment screening. We actively support
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operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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Dr Faye Smith, Professor Cristina McKean (Oxford University) and colleagues from the Children’s Public Health Service in North Tyneside Council. See the ECLS website for more information about the
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the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
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protocols for electrical biasing of samples in the microscope. A key task is to process and analyse large 4D-STEM data sets and extract information about domain wall structure and dynamics. The role involves
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, data analytics, and co-designed interventions. This is an exciting opportunity to contribute to applied research that informs urban policy and planning, particularly around air quality monitoring and
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vessel, the fully turbulent flow channel, the towing tank and the combined wind, wave and current tank. For more information about the School of Engineering and our research, please click here . See our
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You will be collecting, analysing, and presenting data throughout the study informing the intervention and app and contributing directly to the education/instructional videos contained within them
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. Further information about the University can be found here The Role and Department The School of Education at Durham University is a leading centre for educational research and teacher development, with a