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machine learning model evaluation for smart building services”. The appointee will be required to: (a) write and programme the advanced AI Large Language Model algorithm and framework; and (b
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algorithms. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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, Dental Materials, Dental Technology or a related discipline, with research experience in Non-linear Finite Element Analysis, CAD for dental prostheses, AI algorithm development using python / PyTorch, and
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business
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/ Digital forensics; Algorithms. Supervise final year projects and capstone projects, provide mentorship and academic guidance to students; Collaborate with colleagues to develop or enhance the curriculum