1,428 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" positions in Singapore
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Technologies (AICET) under one of the AICET’s projects. Current projects include: Codaveri – An auto-feedback programming system Coursemology - a gamified e-learning platform Softmark – An online grading too
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and the associated vulnerability patterns in aging and neuropsychiatric disorders using multimodal neuroimaging and machine learning methods. We are interested in the large-scale brain structural and
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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, immunology and molecular biology is required. Able to travel occasionally for conferences, project sites and meetings with collaborators. Possess strong interpersonal, communication, computer, writing and
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-centred design and AI, with a focus on how AI technologies—such as natural language processing, computer vision and sensors—can be leveraged to enhance the human condition. The candidate will contribute
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, with demonstrated excellence in both methodological research and clinical application of artificial intelligence and machine learning (ML). The candidate will contribute to high-impact research
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characterization of integrated memristor devices and systems. • Develop algorithms and system-level integration strategies to harness the capabilities of AI accelerator for machine learning and deep learning
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on the laboratory can be found here. Our group develops machine learning algorithms to automatically generate discoveries from large-scale brain imaging data. We aim to uncover fundamental principles
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, economics, or a closely related field. Excellent knowledge of computational linguistic tools and machine learning techniques. Experience with data analysis with Python and STATA. Prior experience in
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. • The ability to work independently and collaboratively within a multidisciplinary team. • Strong writing, critical thinking, communication, and presentation skills. • Experience in Machine Learning is a