Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- University of Bergen
- University of Stavanger
- NTNU Norwegian University of Science and Technology
- RMIT University
- Stanford University
- University of Agder
- University of Inland Norway
- University of Michigan
- Zintellect
- AALTO UNIVERSITY
- Barnard College
- CEPS
- ENS
- Helsinki Institute for Information Technology
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- La Trobe University
- Macquarie University
- Morgan State University
- National University of Singapore
- Oak Ridge National Laboratory
- OsloMet - storbyuniversitetet
- OsloMet – Oslo Metropolitan University
- RMIT UNIVERSITY
- Simula UiB
- Stockholms universitet
- UiT The Arctic University of Norway
- Universitat Ramon Llull Fundació
- University of Antwerp
- University of Birmingham
- University of Michigan - Ann Arbor
- University of North Carolina at Charlotte
- University of Nottingham
- University of Nottingham;
- University of Oxford
- University of South Carolina
- University of Tübingen
- Vrije Universiteit Brussel
- 29 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
-
control theory (e.g., model-predictive control, etc.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g
-
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
-
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
-
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