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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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contributing to the construction of a technology powerhouse. Recruitment Focus Candidates with a background including but not limited to the following majors: Medical Imaging Science and Technology Systems
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, quantitative image processing and data analysis. The postdoc will also contribute to the theoretical side of the project, developing models grounded in active matter physics, non-equilibrium statistical physics
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the Psychology Board of Australia About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and
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, machine learning, data science, neural engineering, computational neuroscience, and physiological data science relevant to anesthesia, perioperative medicine, pain, and critical care. The appointment will
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Engineering » Computer engineering Engineering » Electrical engineering Engineering » Knowledge engineering Researcher Profile First Stage Researcher (R1) Application Deadline 29 May 2026 - 23:59 (UTC) Country
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Technology, Mathematics and Statistics, and Computer Science. More about the position Modern diffusion models underpin state-of-the-art generative AI for images and continuous data, yet principled diffusion
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seeking a PhD student to apply antibody-based, multiplexed imaging tools to develop spatiotemporal protein maps of human cells and tissues, within the framework of the Human Protein Atlas (HPA). The project
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statistical analyses, and develop graphs and tables for publication and presentation. * Serve as a resource for non-routine inquiries such as requests for statistics or surveys. * Test prototype software and