Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
learning agents, with an emphasis on their communicative and social properties. The course bridges theory and application through design thinking, prompting students to develop AI interfaces and experiences
-
, ECCV, NeurIPS, ICML, AAAI, TPAMI, IJCV, TIP, TMM. Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision and Causal Inference. Experience in at least one Deep Learning
-
on the use of arts and creative approaches in the context of ageing and aged care • The Continuum of Care: A Systems Perspectives - multi-disciplinary overview of a range of perspectives, theories, and
-
; Theory; Quantum Algorithms / Computation; Software Engineering; Programming Languages; Logic / Verification Responsibilities: Research: The appointee is responsible for undertaking high-quality
-
(Teaching & Learning), CTLT Qualifications at least a master’s degree in education or a related field - knowledge of latest developments, trends and theories in academic development; education, education
-
to support efforts to conduct mobility research for paving the way for Singapore's future land transport system. Key Job purpose Research into application of classical flow theories in modelling a
-
well as developments in modeling, theory, and data science, will be welcome, either through observational, modeling, or theory approaches. The candidates are expected to: Establish a world-class research programme
-
cities), urban liveability and inequality, and/or novel approaches to urban theory development. We also welcome applicants trained in Data Science/Analytics, Computer Science, Geographical Information
-
. Background in formal verification and programming language theory. Experience in interactive theorem proving and/or Web programming is valuable. Capable of handling multiple tasks across projects and research
-
-heuristics; economic paradigms (game theory, mechanism design, electronic markets); agent modeling and simulation; agent planning, scheduling and decision support; agent learning and adaptation; reinforcement