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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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the performance of free electron-driven EUV emission for imaging, lithography and other applications. Key Responsibilities: Perform simulations in nanophotonics, free electron-driven EUV emission and EUV
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-Nov-25 Location: Los Angeles, California Type: Full-time Categories: Academic/Faculty Medical Imaging Internal
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
quality research outcomes in the area of animal behaviour. This project involves establishing and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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for producing high quality research outcomes in the area of animal behaviour. This project involves establishing and imaging butterfly courtship interactions within experimental enclosures with the ultimate aim
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supported. Service Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below. Applications received before 15 January 2026
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* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis. Responsibilities will include image data processing and analysis
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: * Develop and apply cell culture models of retinal fibrosis and retinal degenerative diseases. * Utilize molecular biology, biochemistry, and imaging techniques to study disease mechanisms and therapeutic
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awareness, information seeking, etc. Demonstrated experience in using machine learning, including for image processing. Demonstrated software engineering/development abilities, and the use of tools