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(human geography, sociology, environmental social science, development studies, etc), sustainability science, or related fields demonstrate expertise in qualitative research methods demonstrate ability
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-derived physiological data (e.g., activity, heart rate, temperature) with endocrine test outcomes to identify diagnostic patterns Contribute to multimodal datasets feeding into the broader development
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parameter modelling (e.g., deriving parameters such as snow wetness or snow density from drone-recorded snow depth data). The method development will aim to produce snow data products especially tailored
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development, biomass availability, and sector coupling is experiencing significant growth. The group combines techno-economic modelling, system optimization, and infrastructure planning to address real-world
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variable and can be hard to predict. Therefore, wind power is exposed to both variations in electricity prices and balancing prices. In the later years, there has been an ongoing development in the European
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studentships for 2026/27. Of these, four will be based at the University of Leeds and two at the University of Warwick. Training and support will focus on your academic and professional development with year
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year before the position expires, you will be offered an interview to clarify your future career. The PhD research will focus on the development of AI models for analysis of prehospital ECGs, with
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to accelerate the development of new cancer therapies. In this PhD project, you will employ existing proteomic tools and develop new ones to study protein interactions and signalling pathways in
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experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
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wider ecosystem structures. The findings will generate actionable insights for policymakers, incubators, development organisations, and SMEs by identifying the ecosystem features that most effectively