-
to develop a knowledge-aware and event-centric framework for natural language understanding, in which event graphs are built as reading progresses; event representations are learned with the incorporation
-
simulations. Knowledge of behavioral and analytic methods related to representational similarity, multidimensional scaling, reinforcement learning, and fear conditioning is a plus. Experience developing and
-
System Models, or related simulation tools. Additional knowledge of statistical methods, Monte Carlo techniques, or ensemble approaches is highly valued. The post is advertised as full-time. We are open to
-
growth. The Department holds an Athena SWAN Bronze award. Athena SWAN is a national initiative that recognises the advancement of gender equality, representation, progression, and success for all in
-
projects would be desirable. An understanding of Mendelian randomization and/or causal inference would be advantageous but not essential; full training will be given. In particular, no prior knowledge
-
projects would be desirable. An understanding of Mendelian randomization and/or causal inference would be advantageous but not essential; full training will be given. In particular, no prior knowledge
-
representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
-
(waterfall, fire) represented? What is the role of corticofugal projections in setting expectations? How does the auditory system integrate information over time? How does representation change with mental
-
recognises the advancement of gender equality, representation and progression. The Department embraces excellence in all of its forms and invites all qualified applicants to apply. We particularly welcome
-
recognises the advancement of gender equality, representation and progression. The Department embraces excellence in all of its forms and invites all qualified applicants to apply. We particularly welcome