61 machine-learning-"https:"-"https:"-"https:"-"https:" positions at Hong Kong Polytechnic University
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visual intelligence”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science or Electrical and Computer Engineering or an equivalent qualification, plus one
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Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S.H.I.E.L.D.)”. He/She will be required to: (a) develop machine learning models to predict optimal rehabilitation solutions
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in the language teaching classroom”. The project requires a statistician or an individual with exceptional statistical analysis skills to support research on computer-assisted language learning (CALL
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in the research project - “Neurocognitive mechanisms of hierarchical and linear artificial grammar learning: Insights for natural language syntactic learning and development”. They will be required
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- “Reliable industrial foundation models for trustworthy industrial robot fault diagnosis in automotive smart manufacturing”. He/She will be required to: (a) carry out research in advanced machine learning
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literacy and knowledge of online teaching and learning applications; and (d) good interpersonal and organisational skills. Applicants are invited to contact Dr Herrick Y.K. Wong at telephone number 2766
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-science and signal-analysis tasks, including processing experimental signals, integrating datasets, developing machine-learning models, and mapping measured fuel properties to SAF performance. For the post
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., LangChain, AutoGen, Unity ML-Agents); and (e) experience in integrating AI/machine learning models with web applications or game engines. Applicants are invited to contact Dr Zackary P. T. Sin at telephone
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related field; (b) hands-on experience with programming (e.g., Python); (c) an interest in AI, machine learning, signal processing, or human-computer interaction; and (d) a passion for creating
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- “Smart Holistic Insurance Enhancement using Learning Algorithms & Decentralization (S.H.I.E.L.D.)”. He/She will be required to: (a) develop machine learning models to predict optimal rehabilitation