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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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centre for the development of medical imaging, particularly MRI. Eligibility You must be a university graduate or expecting to graduate with a 1st class degree in engineering, physics, computer science
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of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque electrophysiology data obtained through
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model), Imaging data acquisition and analysis (Positron Emission Tomography) Complementary training includes research ethics, scientific communication, project management, and collaboration across
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-Tenure) The University of Pittsburgh, Department of Radiology is recruiting for a qualified imaging research assistant professor to assist with clinical and research imaging analysis. This will be a full
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. This project combines molecular genetics, advanced imaging, and quantitative analysis to answer fundamental questions in plant cell biology and genome stability. You will be part of AGILE, a large international
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. The work includes laboratory and field experiments with living mosquitoes, followed by insect identification using stereomicroscopes, as well as the application of imaging techniques and molecular analysis
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Experience with deep learning for image analysis and/or medical image processing Knowledge of self-supervised learning, representation learning, and/or generative models Experience with multimodal machine
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interest in medical imaging, radiation safety, and AI. - Experience with Python, deep learning frameworks (PyTorch/TensorFlow), or image analysis (preferred). - Good communication skills and fluency in