920 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs in Singapore
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size and market factors. For more information on the School and course offerings, please visit https://business.smu.edu.sg If you are interested in an adjunct position, please send your CV with a cover
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. Candidates must have an excellent track record in research and a demonstrated ability to teach broadly across the curriculum including the arts business, legal and regulatory constraints of creative cultural
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . This position supports research activities in electrocatalysis and
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enablement Leverage data and emerging technology (e.g., Power BI, Robotic Process Automation (RPA), Artificial Intelligence/Machine Learning (AI/ML)) to solve challenges and innovate FSS operations Stakeholder
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We are looking for a part-time lecturer to teach this undergraduate course at the Wee Kim Wee School of Communication and Information. The course will examine how politics, ideology, international
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: Qualification: A bachelor’s degree in computer science, computer engineering, electronics engineering or equivalent. Strong background and experience in machine learning and computer vision. Prior experience in
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(ELL) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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solutions to address our ongoing challenges. Our group @ NUS (https://engbio.syncti.org ) specializes in Synthetic Biology in which we engineer microbes with useful capabilities for medical and industrial
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Development (PCHD) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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Science, Electronics Engineering or related fields. Strong knowledge in deep learning, pose estimation, 2D/3D detection and segmentation, SAM, foundation models, and 3D computer vision; strong software skills and