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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational information retrieval, multimodality sensemaking, question
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-event modelling and simulation and data-driven applications Excellent programming skills and experience in large system development Ability to work independently and with a large team Excellent analytical
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The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. The successful applicant will be responsible for the development of a software platform to
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information retrieval, multimodality sensemaking, question answering and chain-of-thoughts. The Research Fellow will work on a project to conduct the research on development of multimodal large language models
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, including research experiments and data collection Prepare reports and documentations for the research programs, and support data analysis Assist in duties related to lab safety, documentation, training
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following fields: Large random matrices Machine Learning Job Requirements: PhD degree in statistics or related areas. Experience in random matrices or machine learning Strong written and verbal communication
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, environmental science, or microbiology. Alternatively, PhD in corrosion science with documented expertise in electrochemistry and microbiology. Competency with NGS sequencing and RNAseq. Knowledge of NGS data
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recognition, coreference resolution and parsing, and Multilingual translation. Application of NLP in knowledge and information extraction Conduct “translational” research to apply state-of-the-art solutions