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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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in practical applications. We are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language
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communications teams to ensure legal and ethical compliance. In addition, they will document processes, maintain internal repositories, participate in research and knowledge transfer projects, and engage in
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large government agency. We are looking for a researcher to join a small team investigating Natural Language Processing problems in the domain of Financial Regulation. The role would be located within
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/ . The Department is now inviting applications for the position of Research Assistant Professor. Priority will be given to applicants with a demonstrated record of research in Computing, Programming, or Natural Language
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across multiple fields. The ability to plan and manage own research activity and conduct relevant individual and collaborative research projects. Good oral communication, skills in journal and conference
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experience with projects that overlap across multiple fields. The ability to plan and manage own research activity and conduct relevant individual and collaborative research projects. Good oral communication
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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of new research scholars. Predoctoral researchers will work under the supervision of a faculty member, contributing to research initiatives at any stage of the research process, including, for example