10 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" research jobs in Sao Tome and Principe
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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 Scottish Oceans Institute. You will join a growing team comprising another PDRA and two PhD students, and you will have the opportunity to contribute to broader project themes, including wave–mean flow
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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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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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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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neurodegenerative diseases. The position is open to candidates with PhD degree and previous postdoctoral experience and offers the opportunity to work in an excellent team engaged in mouse models of disease
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fabricate and characterise large area perovskite solar cells through scalable methods. The successful applicant will have (or be near to completion of) a PhD in Physical Sciences with expertise in halide
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, including mentoring students, participating in relevant committees, and supporting project-related events. The successful applicant will have (or be near to completion of) a PhD in International Relations
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(University of St Andrews), Dr Kehinde Aruleba (University of Leicester), and Dr Adeniyi Fagbamigbe (University of Coventry) as part of a Wellcome trust-funded project:“Digital and Computational Approaches