-
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
-
projects spanning data visualization, human-computer interaction, and human-centered AI. Coordinate scientific project activities, including planning, reporting, and coordination across collaborating
-
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
-
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
-
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
-
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
-
application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
-
application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
-
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
-
learning, computer vision, and natural language processing. You will have the opportunity to boost your career development and training, read more here . Post-docs receive highly competitive salaries and