64 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs in Singapore
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- National University of Singapore
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learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work Where to apply Website https
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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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including but not restricted to statistical and machine learning (ML), artificial intelligence (AI), operations research, data science, and industrial and systems engineering, with applications to healthcare
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multilingual AI, Translation quality evaluation using AI Teach undergraduate and postgraduate courses in Computational Thinking, Machine Learning and Natural Language Processing (NLP) for translators, LLM and
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. Excellent experience in membrane and separation process modelling, module-scale desalination system modelling, including conventional modelling and machine learning based modelling. Relevant research
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Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff
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at entrepreneurship and boldly initiating start-up ventures. Job Requirements for Teaching-Track Faculty We seek to fill positions in several areas including but not restricted to statistical and machine learning (ML
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knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people
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creating original computer-generated imagery to explore how lighting and rendering shape the emotional ambience of a scene. This learning forms the foundation for further studies in Visual Effects and 3D
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would choose to work with lecturers clustered into three broad areas: Science and Technology, Arts and Design, Civic and Community. Applicants from any field representing the Computer Sciences are welcome