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experience at the time of application; (b) demonstrate a solid research trajectory and domain knowledge relevant to at least one or more of the following areas including natural language processing (NLP
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recommendation mechanisms based on semantic analysis and natural language processing, with the aim of facilitating collaboration and convergence of proposals. Developing and training NLP algorithms in multiple
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be placed on Representation Learning techniques, Transformer-based architectures, Large Language Models (LLMs), Natural Language Processing (NLP), etc. The research will also explore distributed data
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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applying Natural Language Processing (NLP) algorithms. Knowledge or prior experience in Virtual Reality technologies. Work Plan: The grant aims to develop Agricultural Simulations using Virtual Reality as a
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reputable journals and conference proceedings in Communication and HCI. Proficiency in quantitative/statistical analysis and computational techniques (e.g., NLP, data mining). Experience conducting mixed
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linguistics, NLP, and NLU practices to regulatory genomic language, including sequence grammar analysis, motif semantics, and regulatory syntax modeling Passion for translational research in genomics, drug
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of Higher Education Institutions. Preference factors: • knowledge of heat transfer and PCM thermodynamics; • knowledge of optimisation and control (LP/MILP/NLP, MPC); • knowledge of HVAC/heat pumps
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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, Large Language Models (LLMs), Natural Language Processing (NLP), etc. The research will also explore distributed data processing frameworks to ensure robustness, interoperability and scalability in DPP