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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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Engineering or Science disciplines. • Background in Natural Language Processing (NLP): Candidates should have some understanding of machine learning principles, particularly in the field of NLP
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talented AI engineer specializing in harnessing the power of neuro-linguistic programming (NLP). We seek an individual with a proven track record in leveraging AI to forecast future requirements and drive R
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businesses, utilizing cutting-edge AI technologies, including foundational and Generative AI models, Large Language Models (LLM), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP
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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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/NLP classifier for implicit motives Coordination and training of undergraduate research assistants Statistical analyses Preparation of reports and manuscripts related to the project Planning and
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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
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language processing (NLP), and multimodal learning (ML). Mentor graduate and doctoral students in their research projects Collaborate with faculties and students in completing joint research works Write and revise