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giants and icy moons. This will be achieved through a multi-method approach, combining rotating fluid mechanics experiments, numerical simulations, and theoretical analysis. As a key member of the team
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couples’ housing trajectories in the UK and to project future homeownership rates. The successful applicant will have a PhD in a social science discipline (including statistics, computer science and applied
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The successful applicant will have (or be near to completion of) a PhD in Computer Science with expertise indeep neural networks, preferably with expertise in any of the following subfields: signal processing and
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Impact; and produce publications and other forms of research dissemination. The successful applicant will have (or be near to completion of) a PhD in History, Art History, Archaeology or Museums and
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Impact; and produce publications and other forms of research dissemination. The successful applicant will have (or be near to completion of) a PhD in English Literature or History with expertise in one
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couples’ housing trajectories in the UK and to project future homeownership rates. The successful applicant will have a PhD in a social science discipline (including statistics, computer science and applied