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climate system, yet the potential ecological consequences of climate interventions at the poles are poorly understood. This studentship will be linked to a larger project, Eco-Ice, which will provide
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. They therefore contain critical information on the nature of the volcanic system, immediately prior to hazardous explosive events. Understanding them will generate critical information on the transition between
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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI
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questions for research interviews. Conducting a series of semi-structured interviews at UoN. Transcription and analysis of qualitative data. Attending research team meetings. Contributing to publication
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, including animal studies and analyses of human tissue samples. This full-stack methodology enables us to directly link molecular channel function with disease phenotypes. The PhD student will work under the
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-error approach due to a lack of comprehensive hormone testing data. This project aims to demonstrate that frequent hormone monitoring, combined with education and symptom monitoring, will improve
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on host-microbe interactions, with strong links to industry and international partners. The Research Assistant will be embedded in the ALPACA BIO project, an innovative translational research initiative
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-supervisor from the partner university); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and
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); dual-site research and training facilitated by a virtual research environment (VRE) where digital classes are combined with online tools to share information and research data; a comprehensive
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving