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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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, 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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. Situated in the heart of Singapore’s Singhealth Academic Medical Center, Duke-NUS offers postdocs access to advanced core facilities, integration with national clinical networks, and a uniquely collaborative
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cortical neurons, functional loss-of-function approaches, single-nucleus RNA sequencing (snRNA-seq), xenotransplantation, and advanced in vivo imaging (e.g., 2-photon calcium imaging), the aim is to uncover
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neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing multidisciplinary research and play an active role in developing novel
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (theoretical computation) Posting Start Date: 10/06/2025 Job Description: Job Description A postdoc position is available in
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conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form of a report and present in international peer-reviewed conferences
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cluster provides shared access to state-of-the-art instrumentation across multiple imaging platforms and techniques, technical expertise, and assistance in optimal image collection and analysis
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programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
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Intra-operative imaging is an exciting and intriguing field at the intersection of engineering, optics, and biomedicine. Whether at the bedside or in the operating room, real-time, image based