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Field
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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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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g
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(e.g. phonetic, typological, geo-historical, topographical, and sociolinguistic) variably promote or inhibit prosodic convergence between languages in contact, and map findings on a digital multi-modal
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research tasks investigating navigation and integrity assessment of several aircraft-related sensor modalities. The candidate will be mentored by Dr. Jay Wilhelm (Associate Professor of Mechanical
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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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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About the role This Research Assistant post will support data collection and analysis on a longitudinal study of children’s pathways through the healthcare system. We are looking to recruit a
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processes or laws Elicitation of requirements from natural language Applications of declarative specifications (e.g. temporal, modal logics, declarative process models) in the analysis of systems Model-driven
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patients with medically refractory epilepsy and brain tumour biopsy. This software enables clinicians to use complex multi-modal imaging to inform surgical decisions. Based on the early success of EpiNav