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                Field
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                and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful candidates will work with Prof Declan O’Regan in the Computational Cardiac Imaging Group as 
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                patients with lung / cardiac MRI and improve patient experience. Image computing support for pulmonary MRI applications. Development of hardware for neonatal / paediatric MR applications Contribute to and 
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                the lab and have the opportunity to mentor PhD students in their research. If you have a PHD in physics, electrical engineering, computer science and experience and/ or strong interest in image 
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                and the role of p21 based cellular senescence regulating these processes. The research program integrates bone tissue regeneration, vascular biology, and skeletal biology with an emphasis on molecular 
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                28 Oct 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage 
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                MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 8 hours ago31 Oct 2025 Job Information Organisation/Company MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3 
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                . Department of Electrical Engineering and Computer Science carries out research within Computer Science, Data Science, Cybernetics, Signal Processing and Biomedical Engineering. The research network Stavanger 
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                , and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning 
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                Full-time: 35 hours per week Fixed-term: 13 months The opportunity: Conduct original research on neuronal networks underlying the processing of natural visual stimuli, using in vivo large-scale two 
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                developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will