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support Smart Nation applications Key Responsibilities: Design and implement natural language processing (NLP) algorithms and models for semantic analysis, e.g., topic modeling, embedding, named-entity
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optimization, dynamic programming, NLP, MILP and MINLP. Mathematical modelling of the system-level and device-level constraints of distribution networks with DERs and conduct hardware-in-the-loop (HIL
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undertake research in computer vision, NLP, and machine learning To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community
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algorithms for multilingual and multimodal deep learning systems for NLP. Working closely with other Postdoc/RA/PhD students to discuss the ideas and implement the system. The research should lead to
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motives in political communications. Key Responsibilities: Content coding of implicit motives from text data Establishment and refinement of a training database for our machine learning/NLP classifier
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applications in NLP, AI-assisted programming, cybersecurity, edge computing and networks. Publish in top research publications. Assist in research project management and software development. Job Requirements: A