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educational programmes that are constantly renewed in response to issues in society. Our faculty is large enough to make a difference nationally and internationally, yet small enough to offer personalised
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the Reinforcement Learning Lab for Sustainable Energy, researchers from academia and industry develop, implement and evaluate new deep reinforcement learning methodology to solve sustainable energy challenges
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, and the meaning attached to them in scholarly work and in the eyes of society. We encourage candidates to develop their own focus within the project. However, we would be particularly interested in
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array of specializations and notable for its strong connection between teaching and research. Home to over 500 students in the multidisciplinary world of Archaeology, the Faculty, and its researchers from
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Science, Psychology, Education and Child Studies, Cultural Anthropology & Development Sociology and the Centre for Science and Technology Studies. The Faculty is home to 7,000 students and 1000 members
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on surveys and public services – particularly healthcare, education and transport – to develop local measures of development progress and compare the performance of subnational governments with distinct
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students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and
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on the grading of the thesis and other advanced, independent educational elements in addition to relevant methodology courses. Before applying, applicants establish contact with the envisaged supervisor (professor
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and interdisciplinary research field. You will assist with student supervision and teaching and complete a PhD thesis in four years. Requirements Specific Requirements Selection Criteria Master degree
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supervision and teaching and complete a PhD thesis in four years. Selection Criteria Master degree or similar in biodiversity-relevant field, such as ecology, communication research, urban planning