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the University's Strategy. The post-holder will be expected to contribute to all areas of provision from our PhD programme, MA in Higher Education PGCert in Learning and Teaching in Higher Education and a range of
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. Ability to collaborate with colleagues and stakeholders will be essential. We particularly welcome candidates with experience in psychoacoustic listening tests and machine/deep learning. A PhD in a relevant
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, through new knowledge and its application to the design, development, and delivery of responsible innovation and impact. Our School of Veterinary Medicine follows an innovative distributed teaching model
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small animal practice. The University of Surrey, School of Veterinary Medicine follows a distributed model for final year teaching and we are actively partnered with leading veterinary practices and local
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advantage of training opportunities targeted at early career researchers. About you You will have a PhD in mathematical modelling or related discipline with research experience in epidemiology and statistics
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research publications and deliver scientific presentations at national and international conferences. About you Candidates should have a higher research degree (PhD) in a relevant subject such as cell
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. About you The successful candidate will have a strong background in experimental testing, programming (MATLAB/SIMULINK) and control, and should have a PhD in a relevant discipline such as mechanical
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United Kingdom Application Deadline 14 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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The University of Surrey Clinical Psychology Doctorate (PsychD) is pleased to advertise for Associate Tutors (Clinical) to join the programme team. You will be making a significant contribution to
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small animal practice. The University of Surrey, School of Veterinary Medicine follows a distributed model for final year teaching and we are actively partnered with leading veterinary practices and local