Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
on theory and benchmark development Disseminate results through scientific publications and presentations Support mentoring of junior researchers and engage in group-level collaboration Job Requirements: Ph.D
-
with NTU Singapore and ETH Zurich researchers across theory and applications Job Requirements: Ph.D. in Computational Science, Geophysics, Engineering, or a related field Strong experience in numerical
-
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
-
methods for building and validating communication and/or information theory. Candidates must have experience with computational techniques using R or Python and the ability to teach courses in computational
-
, 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
-
, 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
-
. 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
-
professional and academic standards worldwide and are responsive to student interests and evolving global needs. Post-graduate programs combine theory and practice, offering MA and PhD by research and a MA in
-
(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