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- “Cascaded selective prediction for reliable LLM agents”. He/She will carry out research in the area of machine learning and data science, and also be required to: (a) develop an effective cascading
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should also have: (a) experience in field measurements of IEQ, energy simulations and machine learning modelling; (b) strong analytical and problem-solving skills, with the ability to conduct
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editing”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an equivalent qualification
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Department is available on the departmental website at www.polyu.edu.hk/hti/ . We are looking for a highly motivated personnel with expertise in bioinformatics, neuroimaging, machine learning, mental health
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pillars such as Big Data Analytics and Management, Machine Learning and Optimization, AI for Data Science, Deep Learning, Generative Learning, Biometrics Processing, Natural Language Processing, Computer
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of Artificial Intelligence (AI) into higher education. The appointee will play a key role in advancing PolyU’s strategic initiatives in digital transformation, teaching innovation and AI-enabled learning. Key
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machine learning. There are currently 56 academic staff and about 154 research personnel in the Department. Please visit the website at https://www.polyu.edu.hk/ama for more information about the
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Science, or an equivalent qualification; (b) experience in field measurements of food waste, bioconversion and machine learning modelling; (c) strong analytical and problem-solving skills, with
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the University and Boeing research agreement. They will be required to: (a) develop machine learning-based image processing algorithms for surface condition recognition, defect detection, and digital feature
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with expertise and experience in (1) Generative Modeling, (2) Multimodal Learning, (3) Generative AI and Computer Music, and (4) Efficient AI. Duties The appointees will be required to: (a) conduct