965 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs in Singapore
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digital humanities, ludic studies, or social gaming platforms. A passion for education and the ability to foster a supportive, inclusive, and diverse learning environment, with strong interpersonal and
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tools (e.g. RPA, intelligent document processing, workflow automation) Experience designing dashboards and reports using modern BI tools (e.g. Power BI) Working knowledge of AI / machine learning concepts
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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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biomedical laboratory work; assist with experimental workflows as required Qualifications Diploma in Biotechnology, Biomedical Science, or a related field Basic computer proficiency (email, Microsoft Office
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efficiency by learning from and collaborating with other clinical trial networks. In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its
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technical problem-solving impact. Identify real-world AI projects that build software engineering depth and machine learning pipeline skills of workforce for certification readiness. Contribute to knowledge
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digital integrated circuits, utilizing deep learning techniques for better adaptability and productivity. The PACE team aims to advance side-channel and fault analysis techniques for hardware security
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emergency protocols. • Promote a culture of continuous learning and improvement, aligned with the Executive Centre’s focus on innovation and sustainability. Crisis Management & Safety • Lead the response
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learning and inverse reinforcement learning. Machine Learning & Intelligence, including machine learning and adaptation; deep learning; computer vision; machine intelligence; explainable AI; cognitive/brain
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applications for a Visiting Professor position in Computational Statistics, Statistical Signal Processing, Bayesian Inference, or Machine Learning. Candidates should hold a Ph.D. in statistics, mathematics