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and interpret experimental data using statistical and algorithmic methods. Track record of publications in peer-reviewed journals or conference proceedings. Demonstrated ability to work independently
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This research project aims to establish the theoretical and algorithmic foundations of quantum adversarial machine learning, an emerging field at the intersection of quantum computing and machine learning. It
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adaptations of current aircraft designs and the development of innovative design concepts, maximizing material properties and sustainable manufacturing methods. Qualifications: Strong background in aircraft
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students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration
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To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically, the appointed
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early communication outcomes. The role involves applied, mixed-methods research across two stages: exploratory interviews, focus groups, and surveys with childminders, followed by a formative evaluation
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, Understanding, Forecasting and Tackling—the Centre’s programme aims for far-reaching insights that transform global responses to modern slavery in conflict settings. This role is one of seven new roles being
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internationally recognised for its research in ship hydrodynamics, design optimisation, and marine decarbonisation. Our work combines advanced simulation, AI, and experimental methods to support a more sustainable
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Government policies and to inform innovation for industry leading to increased economic growth. Our main source of funding is from the Scottish Government funded Strategic Research Programme (SRP) which we
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to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within established research programmes. The successful applicant will be able to present information on research