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, and be highly proficient in Python, Large-Language Models and Natural Language Processing. Qualifications • PhD in Computer Science, especially in the context of NLP. • Coding
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an important challenge in Human-Computer Interaction research: how can we create a proxy for a remote physical object that does not replicate, but extends the experience of interacting with the object itself
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projects spanning data visualization, human-computer interaction, and human-centered AI. Coordinate scientific project activities, including planning, reporting, and coordination across collaborating
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and natural language processing to identify and monitor emerging risks to higher education institutions. This includes analysing legislation, policy documents and political discourse to track
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Professor Jesper Buus [email protected] Application procedure Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and
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of legal, regulatory and political texts, using methods from computational social science and natural language processing to identify and monitor emerging risks to higher education institutions
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experimental experience) Demonstrated ability to work independently as well as collaboratively Good oral and written presentation skills in English. Strong relevant publication track record, e.g., nature
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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publication list Two educational or professional recommendations All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile
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research questions. Strong quantitative research skills and proficiency in Python or R. Experience with large-scale textual data, natural language processing, machine learning, transformer-based models