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Field
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Requirements: Bachelor’s, Master’s, or PhD degree in Materials Science, Engineering, Physics, Chemistry, Imaging Science, or a related technical field. Basic understanding of X-ray imaging, tomography
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-processing using conventional and deep-learning based approaches. Coordinate MR imaging studies to promote applications of MRI in the application of radiotherapy. Assist in clinical radiation therapy physics
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materials and pH, using hyperspectral imaging and AI techniques. In addition, the project will investigate the integration of physical AI approaches within imaging modalities to enable real-time, automated
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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise
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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in
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model and biological membranes. The experimental data will be paired with results from molecular dynamics simulations to provide a complete characterization of the biophysical properties of the imaged
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radiological data, such as MR, CT and pathological images. Required Qualifications* The ideal candidate will have: A PhD degree in computer science, electrical or biomedical engineering, or medical physics
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7 Apr 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Mathematics Physics Researcher Profile Recognised Researcher (R2) First Stage
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do things, especially considering recent advancements in AI technology. The position will include developing radiomics and deep learning models from contrast-enhanced computed tomography images
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internationally. The focus of our work is the investigation of severe mental disorders, including but not limited to schizophrenia and bipolar disorder. We study structural and functional imaging changes in