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see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language. Please see this link for information on how to apply: https://sheffield.ac.uk/postgraduate/phd
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System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language
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this appointment. Key attributes of the successful applicant include: Strong coding skills (e.g., MATLAB) Advanced statistical experience An excellent publication track record Experience of conducting research with
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, open code, open educational resources and practices that support replication. Desirable: F1 Experience of object-led research and teaching. F2 Experience of, or demonstrated potential for, research
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University assistant (prae doc) as soon as possible, at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science under the supervision of Univ.-Prof. Dipl.-Inform.Univ. Dr
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, desirable criteria listed in the Candidate Information. For further information including how to apply please visit https://candidates.perrettlaver.com/vacancies/ quoting the reference 8307 or contact Lucy
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of Cambridge; https://www.abg.psychol.cam.ac.uk ) and Prof Eleni Vasilaki (University of Sheffield, School of Computer Science). Are you passionate about uncovering the brain mechanisms that support adaptive
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professional field of activity: As a University Assistant (40 hours/week), you will join the research team led by Univ.-Prof. Dr. Radu Ioan Bot. The main research areas of the working group focus
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process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in
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1300 and 1900 CE”; https://www.synergy-plague.org/ ), working with Principal Investigator, Professor Philip Slavin (University of Stirling) and Leading Collaborator, Professor Samuel Cohn (University