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The Neuron Signaling Lab at National University of Singapore is seeking a motivated and skilled Research Fellow to join our interdisciplinary neuroscience team. We use advanced optical imaging and
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow to conduct AI for medicine research. The role will focus on developing foundation models to medical image
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of imaging this highly dynamic and complex organelle. Our lab has developed various quantitative and super-resolution imaging tools specifically designed for studying the Golgi, including en face averaging
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in a meritocratic culture. Key Responsibilities: Design and build optical interferometric imaging setup for imaging live cells Conduct in-vitro imaging experiments Analyze and summarize
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Chemical Imaging) 2 Posting Start Date: 06/02/2025 Job Description: Job Description We are looking for passionate and self
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on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning. Key Responsibilities: Conduct advanced research in the areas of privacy-preserving
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Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various...
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on radionuclide imaging and therapy of cancer (radiotheranostics), multi-modal molecular imaging and nanotheranostics (various forms of nanoformulas). More information on the research work is available at https
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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