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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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an emphasis on technology, data science and the humanities. We are seeking a motivated student assistant to support our research team in processing large-scale microscopic blood-cell image datasets. Your
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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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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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to InSAR and other remote sensing observations. Successful candidates will have a Bachelor’s degree in a relevant field (e.g., earth science, civil / electrical engineering, image processing, and deep
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to observe proper radiography procedure with regards to patient care, radiography technique, infection control, scanning protocol and documentation. Apply appropriate radiographic projections and position
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University of Singapore is a multi-disciplinary institute committed to developing new paradigms for biomedical research by focusing on the quantitative analysis of dynamic functional processes. Through
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(EM) to join our multidisciplinary team. The successful candidate will lead EM-based investigations and contribute to the development of advanced imaging protocols. This position offers access
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scalable system frameworks capable of real-time data processing, distributed decision-making, and seamless integration with operational infrastructures. Design and deploy robust, secure interfaces
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. Formulate scalable system architectures that support real-time data processing, distributed decision-making, and seamless integration with operational platforms. Design and implement robust interfaces