Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
programs in the areas of basic, translational, mechanistic and population research. Position Summary The Department of Genetics invites applications for an IT Analyst/Programmer (Semantic Engineer) in
-
Details Title Lecturer in Linguistics (Semantics) School Faculty of Arts and Sciences Department/Area Linguistics Position Description The Department of Linguistics seeks applications for a lecturer
-
2026 (there is some flexibility) The Jozwik lab studies visuo-semantic cognition combining cognitive science, neuroscience, and computational modelling. The lab’s research has focused on probing specific
-
of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing and
-
Supervisor: Dr. Kamila Maria Jozwik, Jozwik lab PhD fees status: Home fees only (https://www.postgraduate.study.cam.ac.uk/finance/fees/what-my-fee-status ), 4 years Start date: October 2026 The
-
competitive research in AI-driven semantic analysis and automated reasoning-flow modeling, with applications to educational materials, scientific documents, and research authoring. Your work will focus
-
. Familiarity with ELT tools such as DBT, Fivetran, Informatica, or Matillion. Understanding of data modeling concepts (star schema, snowflake schema, semantic models, incremental loads). Ability to design
-
business needs of the University. The Business Intelligence Services (BIS) team configures, maintains and monitors the enterprise Business Intelligence tool. The BIS team creates and maintains the semantic
-
thermal camera data as well as visual cameras and lidars. Expanding beyond our previous leading work on odometry, SLAM, and semantic segmentation using 2D and 4D radar data, with this project we wish
-
cameras and lidars. Expanding beyond our previous leading work on odometry, SLAM, and semantic segmentation using 2D and 4D radar data, with this project we wish to further increase resilience