Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- University of Bergen
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- RMIT University
- Stanford University
- University of Inland Norway
- University of Stavanger
- AALTO UNIVERSITY
- CEPS
- ENS
- Helsinki Institute for Information Technology
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- La Trobe University
- Morgan State University
- Oak Ridge National Laboratory
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- Queen's University
- RMIT UNIVERSITY
- Rutgers University
- Simula UiB
- Stockholms universitet
- UiT The Arctic University of Norway
- University of Michigan
- University of Michigan - Ann Arbor
- University of Oslo;
- University of South Carolina
- Vrije Universiteit Brussel
- 19 more »
- « less
-
Field
-
non-relativistic holographic frameworks. The project focuses on establishing and using controllable limits of string theory and holography—particularly non-Lorentzian (e.g. Galilean/Newton–Cartan and
-
., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
-
formal language theory Computational models of language acquisition, especially building models for phonological and syntactic learning Mechanistic interpretability and controlled evaluation of language
-
join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting opportunity for an early
-
motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
-
quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution
-
motivated Research Fellow to join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting
-
Position Type: Postdoctoral Fellowship Duration: 2 years Start Date: 1 September 2026 Area of Specialization (AOS): Philosophy of Cognitive Science; Cognitive science; Cognitive control Area of Competence
-
control theory Help mentor graduate and undergraduate students Participate in other ongoing research activities within the areas of connected and automated vehicles and intelligent transportation systems
-
across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and