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to BSc (Hons) and graduate training leading to MSc and PhD degrees. We invite applications for an Associate / Full Professor position specializing in Coding Theory, Cryptography, and Algebraic Number
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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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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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, 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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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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work with our team to conduct research on the development of image analysis algorithms and AI methods for hardware security evaluation. The roles of this position include: Study literatures on multi
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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