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, or knowledge representation. You will be working closely with a team of PhD and Postdoctoral researchers from The University of Manchester, who are developing the underlying technology. You will also be working
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activities, including lab meetings and other events, lab inductions, and ensure safety systems and procedures are kept up to date and relevant. Assist in the training and support of PhD and project students as
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approach is one of the distinctive features of data science at Manchester. You should have a PhD (or equivalent) in statistics or a similar field, and be developing your publication record. You should have
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– from rodents to humans. Please see job description for further details on the project. The candidate must have a PhD in Cognitive/Computational Neuroscience, Experimental Psychology, Human-Computer
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developing sustainable cement formulations. You must have, or be about to complete, a PhD qualification (or equivalent) in a relevant academic field. The primary aim of this research project is to develop and
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; synthetic biology; analytics and computer science. The successful applicant should have a strong background in biocatalysis and directed evolution and a good understanding of the industrial biotechnology
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November 2025, or soon thereafter, for 1 year in the first instance, with the potential for renewal for another year. The post is part of a BBSRC-funded research programme (PhotoOxyMap), seeking to design
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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
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invites applications for our NIHR Clinical Lectureships. You will join our successful Integrated Academic Training (IAT) programme which is funded by the National Institute of Health Research (NIHR
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post holder(s) will be expected to hold a PhD and/or equivalent professional experience in a relevant cognate area for the teaching of courses in the following disciplines: Management and Information