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markers. Develop machine learning models capable of predicting Category 1 emergencies based on real-time audio features extracted from calls. Work iteratively with YAS researchers to test and refine
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(conductivity, heat capacity, flame resistance). Advanced finite element modelling will then correlate microstructural features to heat-transfer performance. The candidate will design and build a burner-rig test
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PhD studentship. The preferred start date is 1 October 2025, but requests for a 1 January 2026 start date will be considered. This PhD studentship is offered by the Plymouth Health Determinants Research
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Research Assistant/Associate in Photonics Integration of Graphene and Related Materials (Fixed Term)
possess sufficient breadth or depth of knowledge in the discipline and of research methods and techniques to work within own area. The candidate will also have the ability to continually update knowledge
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the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter. Computing systems increasingly operate in dynamic and uncertain environments [1]. A key application of such systems is in
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multivariable statistical methods. Support for skills development is provided within the Horse Microbiome Research Group and the university’s Doctoral College . Delivery of this project in collaboration with
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through presentations, discussions and meetings which contribute to the production of research reports and publications. • To write up results of research work, present information on research progress
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track record in the fields of immunology or infectious diseases, compelling research plans that complement ongoing work at CITIID, and a strong commitment to contributing to a positive, collaborative
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to water, with the Zinc acting as the anode and hydrogen evolution potentially occurring at the steel surface. The successful PhD candidate will work at the forefront of hydrogen materials research, with
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processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs) into reliable and efficient decisions. The work spans