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-augmentation methods, with outputs including open-source software, careful evaluation on synthetic and real outbreak data, and training materials to support wider uptake. The successful candidate will
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and resilient housing today. Through comparative “building biographies,” the research examines construction methods, materials, retrofits, environmental performance and changing patterns of occupation
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colleagues and external partners (academic and industry) to exchange ideas, explore opportunities for collaboration, and establish partnerships that strengthen research outcomes. About You Qualifications: PhD
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Glasgow. Candidates should have a PhD submitted or awarded in chemistry, pharmaceutics or a related discipline. Expertise in working with in situ gelling materials or cytocompatible polymers, as
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strengths in experimental methods, micro-mechanical behaviour, soil mechanics, and interface behaviour. About you You will: Hold, or be close to completing, a PhD in a relevant discipline Have strong
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deoxyamination reactions. The project will also include mechanistic and kinetic studies as well as total synthesis of bioactive amines to demonstrate applicability. Successful candidates must have a PhD in
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methods and expand your researcher portfolio. Candidates should hold a PhD (or be near completion). Evidence of previous experience in smouldering experimental and modelling work is essential. The candidate
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background in computer vision and strong understanding of a range of AI methods. They must hold a PhD in computer science, with a focus on developing AI-based computer vision approaches. Expertise can be
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. The successful candidate will have the chance to engage in the development of novel research methods, extend their research portfolio and contribute to the evolution of technologies such as the use of bio
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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent