372 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at National University of Singapore
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to provided specifications and learning objectives. Perform quality checks on uploaded content to ensure accuracy, formatting consistency, and alignment with educational standards. Create and edit generative AI
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or Teaching Assistant at the National University of Singapore (NUS) Are you passionate about data science, machine learning, and artificial intelligence? Do you enjoy teaching and empowering others with
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Qualifications Education: - Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field - Postdoctoral
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/Senior Lecturer at the National University of Singapore (NUS) Are you passionate about shaping the future of data literacy? Do you have a strong background in AI and Machine Learning, with a commitment to
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operational modelling and simulation, pricing & cost control to contribute to growth of the team resources. The ideal candidate is highly organized and proficient in using current data and machine learning
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of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out
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-related and miscellaneous duties as assigned by the Department when there are manpower requirements at the Design Lab to support the lab classes and train new users on the testing machines Qualifications
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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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, machine learning, AI, computer vision, large language models, Agentic AI or human–computer interaction. Excellent oral and written communication skills. Resourceful and up-to-date with developments in
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or personal mentorship; capture feedback on knowledge sharing and technical problem-solving impact. Identify real-world AI projects that build software engineering depth and machine learning pipeline skills