1,401 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in Singapore
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: https://careers.nus.edu.sg/job/Research-Assistant-%28LKYSPP%29-%2828582%29/28582-en_GB/ Research Associate apply here: https://careers.nus.edu.sg/job/Research-Associate-%28LKYSPP%29-%2828583%29/28583
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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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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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and acquire spectral data Perform Raman spectral data analysis using machine learning algorithms Work with DiSTAP plant biology collaborators, training researchers in spectrosocpy Work with local
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Degree in Computer Science, Information Systems, Data Science, Software Engineering, Computer Engineering, or a related discipline. Entry level candidates are welcome to apply. Skills & Knowledge Technical
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research takes place at the boundary of quantum optics, particle waveshaping and nanomaterials. Read more about our work at our group website https://sites.google.com/view/ljwgroup . Key Responsibilities
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, data mining, and machine learning techniques. Familiarity with Natural Language Processing (NLP) is advantageous. Proficiency with data visualisation tools such as Qlik Sense, along with programming
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topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety. Key Responsibilities: Manage own academic
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Location_ONB: Kent Ridge Campus Posting Start Date: 31/10/2025 Job Description The successful candidate will work with Associate Professor Duane Loh on conducting research at the interface of Machine Learning