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experience in Mobile Health (mHealth) research, texting interventions, fully remote clinical trials, Ecological Momentary Assessment (EMA), Natural Language Processing (NLP), digital phenotyping, and other
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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insights into computational models and help build open-source tools and resources that will support future research in historical semantics and NLP. You will be responsible to the Principal Investigator and
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internationally, including in emerging areas related to AI, digital society, and global communication. More details about the School of HSS can be found here: https://www.xjtlu.edu.cn/en/study/departments/school
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of complex systems, networks, and large-scale data Machine learning, generative AI, NLP, or algorithmic decision systems Ideal applicants will have a strong background in operations research, statistics
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application of NLP models and web-based applications for the media domain. The work consists of data collection and preparation, website or application development, use and evaluation of AI models, and
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reports) relevant to global security and intelligence challenges. Computational Modeling Support: Work with the Principal Investigator (PI) to implement and test Natural Language Processing (NLP) techniques
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Language Processing (NLP), as well as other industry technology trends, to recommend innovative solutions. Collaborates with business stakeholders to identify opportunities for AI/ML adoption and translate requirements
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the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning to enable innovative interactions with unmanned aerial vehicles
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research agenda within the NLP@DSAI group at Chalmers. The position also offers opportunities to be involved in teaching and supervision. About us The Computer Science and Engineering department is strongly