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The Division of Informatics, Imaging and Data Sciences in the School of Health Sciences wishes to recruit an enthusiastic and innovative individual to a teaching focussed role of Lecturer in Digital
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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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, 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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to work with state-of-the-art instrumentation and collaborate with experts in the fields of synthetic organic chemistry and chemical biology. The candidate should hold a PhD in organic chemistry, or related
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is one of the largest of its type in the country and has about 850 undergraduate, 350 MSc students, and 380 postdoctoral researchers and PhD students. The current research portfolio of the department
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our definition of the field. Application procedure Stage 1: You must submit your completed online programme application for a place on your chosen PhD programme by 1 December 2024. Your
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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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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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– 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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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