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The Department of Accounting and Finance at Lancaster University Management School (LUMS) invites applications for their PhD programme in Accounting and Finance. You will be working alongside world
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activities for millennia, cultic practices even surviving transitions between different religions and changes in dominant cultures. This programme of research will examine some of the very long narratives
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Deadline: 27th February 2026 One fully funded, full-time PhD position to work with Dr. Eleonora D’Arnese at the School of Informatics, University of Edinburgh. The aim of this project is to develop
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technologies (LCTs, such as solar PV, electric vehicles, heat pumps or energy storage) to distribution networks. New active technologies that provide flexibility, such as network operator-owned power electronic
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academic achievement. The SUIPRES Scholarship covers the difference between the International and the Home tuition fee for the duration of the PhD/Professional Doctorate programme. Successful candidates will
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-wzn23), this project will combine advanced synthetic strategies with reactivity studies, detailed physical characterization and computational studies to elucidate electronic structures. Together
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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
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proposing an ambitious programme of impactful research, teaching and training with geographical foci in Africa, India and the Arctic Nations. This studentship will make an important contribution
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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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as early indicators of anthropogenic and climate-driven change. However, limited understanding of the processes shaping species’ biogeographic distributions constrains our ability to predict ecological