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2 Mar 2026 Job Information Organisation/Company The University of Edinburgh Department School of Engineering Research Field Engineering » Electronic engineering Engineering » Communication
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psychology, immersive technology and data analytics, whilst working closely with pladis to generate insights to shape products. The successful candidate will join the University of Nottingham’s Sensory Science
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engineering knowledge. Funding support and Further Information Please discuss with Prof. Tao Yang Tao.Yang@nottingham.ac.uk for more details. View All Vacancies
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) Experience with behavioural and neuroimaging (fMRI, M/EEG) data design/collection/analysis Experience in machine learning and AI A collaborative approach to doing science and willingness to help other lab
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benefit from peer-to-peer learning and transferable skills development. For full information about the programme, the research projects available and how to apply, please visit: http://nottingham.ac.uk
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mapping, to rapidly generate linked property-microstructure-chemistry multi-modal datasets, to efficiently produce low‑to‑medium fidelity data streams, which can also be paired to high‑fidelity industrial
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://www.nature.com/articles/s41467-024-50598-1 ), (https://www.sciencedirect.com/science/article/pii/S0736584516300801 ). This research is driven by the need to perform repair tasks without disassembling industrial
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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of complex epidemiological and genetic data, in computational and population health sciences and in disease risk-modelling and risk-prediction. Eligibility criteria The project will suit students with strong
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at https://blogs.ncl.ac.uk/astrophds/ Number Of Awards 1 Start Date 1st October 2026 Award Duration 3.5 years Application Closing Date 6th March 2026 Sponsor Science and Technology Facilities Council (STFC