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domain knowledge relevant to at least one or more of the following areas: Natural Language Processing (NLP), Generate AI (GenAI), Conversation AI / Dialogue Systems, Human-Computer Interaction (HCI
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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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”. He/She will be required to: (a) conduct literature review; (b) assist in designing questionnaire and research plan; (c) analyse data and draft report; (d) assist in manuscript and proposal
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a good publication record in leading peer-reviewed journals or top-tier conferences; (d) have strong analytical, programming, or experimental research capabilities; (e) have an excellent command
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programming language, such as JavaScript, C++ or Python; (b) be familiar with BIM development frameworks (e.g. Revit API, AutoCAD .NET API, and Forge); and (c) understand BIM standards (e.g. IFC and COBie
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or an equivalent qualification; (b) have strong programming and econometric skills; (c) be excellent in reading and writing in English; and (d) be patient, attentive to details and with a strong sense of
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functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical learning and language processing, perform EEG data analyses, and neural computation and
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learning application, etc.; (c) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (d) have good communication skills; (e) be self-motivated; and (f) have good professional ethics
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appointee will join the LEO Dr. David P. Chan Institute of Data Science and will be expected to: (i) carry out research and submit papers to top journals in the field of large vision models or large language
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sensing, InSAR, ArcGIS software, machine learning application, etc.; (b) have good knowledge of programming languages, e.g. Python, Matlab, and C/C++; (c) have good communication skills; (d) be