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Field
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computer vision method for medical image analysis principally in oncology or pathology, with a possible focus on generative AI, explainability, multi-modality. Candidate’s profile A good Bachelors degree
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imaging features to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research
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to phenometabolic signatures from tissue samples taken during surgery and matched to the imaging. The project is part of the imaging theme for the new Nottingham Brain Tumour Research Centre of Excellence. This is a
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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-cell imaging and high-resolution microscopy, you will uncover how these proteins reorganize in response to genotoxic stress and help safeguard the plant genome during development and replication
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26 Feb 2026 Job Information Organisation/Company The Cyprus Institute of Neurology and Genetics Department Biostatistics Department Research Field Biological sciences » Other Medical sciences
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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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and experience. Job responsibilities include: • Develop or identify quantitative tools for imaging data processing, including diffusion, anatomic, and BOLD fMRI. • Oversee data quality assurance/quality
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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cutting edge of medical physics, oncology, and imaging science, contributing directly to the future of pediatric care. Where to apply Website https://www.academictransfer.com/en/jobs/357579/phd-position-in