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We are pleased to advertise three new posts providing an exciting opportunity to join the world-leading biomedical imaging research group at the Sir Peter Mansfield Imaging Centre (SPMIC
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researcher in natural language processing and large language models to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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early intervention alerts in aquatic environments. Integrate open-source and commercial aquatech tools (e.g., air and underwater imaging, biosensor platforms) to build proof-of-concept detection pipelines
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, signal processing and image processing in medicine with an extensive level of access to large clinical datasets. Research in the Weil Institute focuses on the development, validation and maintenance
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neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing multidisciplinary research and play an active role in developing novel
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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imaging procedures Qualifications PhD in a relevant field such as Cell Biology, Biomedical Sciences, Biophysics, or related life sciences Demonstrated hands-on experience in biological electron microscopy
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/reloading models for studying musculoskeletal adaptation Experience in mouse dissections and surgery Prior work in animal/tissue imaging, including microcomputed tomography analysis, as well as histological
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creative ideas in supportive environments. The clinical infrastructures include multiple imaging scanners, including a long axial field-of-view (LAFOV) PET/CT scanner, and aims to push the limits of modern