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Field
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to KAUST’s exceptional research infrastructure, including one of the world’s fastest supercomputers, a full suite of advanced imaging facilities, a class 100 cleanroom for nanofabrication, a seires of research
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or controlled environments, and an understanding of grain processing and grain quality. Familiarity with the Narrabri region of northern NSW would be an advantage as the appointee will be expected to conduct
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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of Medicine, is a top-tier department with world-renowned faculty and staff. A full-time Post Doc Fellow position is available in the Imaging Core laboratory, in the Department of Radiology at the University
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; experience of working on biological systems and/or craniofacial system; experience in image processing and material characterisation. The post is initially funded for 3 years and will be subject to standard
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) and image processing. Previous postdoctoral experience. Informal enquiries to Phoebe Allan, email: p.allan@bham.ac.uk We believe there is no such thing as a 'typical' member of University of Birmingham
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We are seeking an ambitious and highly motivated postdoctoral researcher to help develop the next generation of fibre-based optical imaging and spectroscopy tools. This EPSRC-funded role is central
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of imaging protocols (MRI, MRS, OPM-MEG). Candidates will benefit from a demonstrable experience in these fields. The core abilities and attributes required include resilience, creative problem-solving
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institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
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these influence immune function and disease. The project combines biochemistry, molecular and cellular biology, and in vivo models to deliver a comprehensive picture of immuno-metabolic function during inflammation