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Project title Multi-Modal Large Language Model for Medical Image Analysis Research period 2 years Abstract The proposed research project aims to develop a novel multi-modal large language model (MLLM
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, visible, and ultraviolet; acoustic; radio spectrum; magnetic field strength; charged particle count; and environmental sensors. The project aims to conduct an exhaustive, long-term, multi-modal aerial
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sharing clinical data from neurodegenerative disease cohorts. You will be responsible for: Technically contribute and coordinate the development and implementation of data systems and analysis platforms
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-modality ultrasound analysis. The appointee will be part of the Noble research group at the Institute of Biomedical Engineering, based at the Old Road Campus in Headington. The post is funded by UKRI and is
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of treatments. The role of trace elements can be measured with Scanning Transmission X-ray Microscopy, integrated into a multi-modal imaging platform: using also super-resolution Infrared microscopies, X-ray
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on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
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collaborate with researchers using neuroimaging modalities, clinical and behavioral assessments to investigate brain mechanisms underlying development of obesity and diabetes. Individuals with experience in
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validate new technologies for the diagnosis, prevention, and management of sport injuries, with emphasis on safety rather than performance. You will be responsible for the design, execution and analysis
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healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi-modality ultrasound analysis. The appointee will be part of the Noble research
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deep learning approaches on a wide variety of clinical data modalities, such as structured data, imaging and testing data, and free-text clinical notes. The researcher will have the opportunity to work