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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD stipend in Muscle Neuromechanics and Ultrasound Imaging, within the doctoral programme Materials
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Vacancies PhD position on the pilot scale production of hollow fiber membranes and prototype dialyzers for improved dialysis therapy. Key takeaways Most patients with kidney failure receive dialysis
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Desirable Criteria Understanding of translational research requirements for clinical AI imaging research Experience with implementation research frameworks (e.g., NPT, MRC Process Evaluation, RE-AIM) Prior
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specific physical effects. The student will also investigate data-driven methods for the optimization of EM experimental settings and image processing workflows. A further area of research will be
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new tools for optical tomography and tissue imaging. Besides practical applications, the project will also tackle fundamental questions trying to unravel the structure/property relationship of
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assaulting them. Second, technology has contributed to the creation of new forms of sexual harm, such as image-based abuse and deepfake technology. The implications of these developments are twofold. First
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(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT
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We are currently offering a PhD student position focused on developing new methods for molecular engineering that leverage live-cell imaging data and artificial intelligence (AI). The position is a
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher