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and continuity. The ideal applicant will have experience in AI, ML or NLP in EHR data or a strong interest in applying these methods to primary care. This position will be primarily responsible
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computational linguistics. The selected candidate will assist with specific projects in CIDSAI that involve Arabic NLP, and will be housed in the CAMeL Lab. Since its establishment in 2014, the CAMeL Lab has
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, but not be limited to: de novo development of web applications and web services, developing tools for searching and visualizing NLP results, data migration and validation, reporting from various
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permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https
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Intelligence, Artificial Intelligence / NLP, Management Science & Engineering; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information
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databases - Experience in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) particularly in Natural Language Processing (NLP) and Computer Vision (CV) - Strong record of publications
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are seeking a postdoctoral researcher to join the research group led by Ivan Titov (http://ivan-titov.org/ ), part of the natural language processing group of the Institute for Logic, Language and Computation
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units centered around AI and technology-enhanced learning, such as the Institute for Advanced Learning Technologies (https://ialt.education.ufl.edu ). Successful applicants for the tenure track Assistant
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including data preparation, feature engineering, model training, validation, deployment, and monitoring in production. Natural Language Processing: Advanced knowledge of NLP techniques and large language
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Signal Processor (ISP) pipelines; Multimodal machine learning and Chinese NLP (e.g., Hugging Face Transformers); On-device model optimisation (e.g., TensorRT, ONNX Runtime, TFLite); Backend/cloud