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beneficial but optional experience and skills include multi-level modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and
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. Additionally, they will support the use of Natural Language Processing (NLP) and large language models (LLMs) for policy document analysis and ESG disclosure detection. Their contributions will also include
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well as with UCSF business functions in support of the above goals; and will also evaluate third party tools, especially for Next Generation Sequencing, Foundation Models, Natural Language Processing (NLP), text
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modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and submit all required application materials: https
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modeling, LLM and/or NLP, behavioral coding, and/or psychophysiological monitoring. For consideration, please click the link below to apply and submit all required application materials: https
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Are you passionate about deep learning, generative AI, agents? We are seeking a postdoctoral researcher to join the research group led by Ivan Titov ( http://ivan-titov.org/ ), part of the natural
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. Program: http://ischool.berkeley.edu/courses/info Policies and Programs to Support All Employees: https://ofew.berkeley.edu/support-faculty/family-responsive-policies-benefits-programs-and-resources Course
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research programs following established methods and standards for investigation and experimentation; Master's degree preferred; You have recent experience with foundation models, embedding models, modern NLP
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applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position
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, medical text, audio recordings, claims data, or location data. Proficiency in supervised/unsupervised learning, neural networks, NLP, and LLMs for clinical use cases. Experience with AI frameworks, cloud