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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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, preference will be given to those with strong Python/programming and research skills, and experience in graphs/ontologies, machine learning, optimisation/control, time-series forecasting, BMS/HVAC, PV or ESS
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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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., 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
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) experience with non-destructive testing (NDT) methods (e.g. ultrasonic, thermography, eddy current); (c) knowledge of automation, control systems, and sensor integration; (d) familiarity with AI/machine
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metabolomics datasets. Candidates should be experienced in molecular docking and virtual‑screening pipelines, alongside machine‑learning and deep‑learning frameworks for pathogen detection, drug‑target
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State Key Laboratory of Ultra-Precision Machining Technology Research Assistant (Ref. 260901007) [Appointment period: twelve months] Duties The appointee will assist the project leader in