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Field
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society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for Gene Therapy and Regenerative Medicine (CGTRM) within the Faculty of Life Sciences & Medicine
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on development of novel vision-language foundation models for the analysis of digital pathology images. Develop AI agents that use foundation models for the discovery of biomarkers Work in a multidisciplinary team
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Contract type: Fixed term for 12 months Hours: Full-time About the role We are seeking a Full-Time Postdoctoral Researcher in Computer Vision CT image analysis to join the Nuffield Department of Surgical
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are dedicated to driving positive and sustainable change in society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for Gene Therapy and Regenerative Medicine
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capabilities in evaluating physical and chemical properties of environmental samples including plants and soil. Experience integrating phenotypic or imaging-based datasets (e.g., RGB, chlorophyll fluorescence
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments
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assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement
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prostate cancer therapeutics. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and
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represents expertise in nuclear materials synthesis and analysis, deployment of advanced analytical methods including crystallography, imaging, spectroscopy, physical property analysis, neutron scattering, and
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into complementary domains required by this project (computational microscopy, computer vision or parallel ML). Domain Knowledge: Experience working with biomedical imaging is highly preferred, with a particular