Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- University of Luxembourg
- VIN UNIVERSITY
- Cornell University
- Harvard University
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Aalto University
- Angelo State University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Bar Ilan University
- Bilkent University
- ETH Zürich
- Inria, the French national research institute for the digital sciences
- Institute of Computer Science CAS
- Institute of Mathematics of the Polish Academy of Sciences
- Iowa State University
- Leibniz
- Lunds universitet
- Max Planck Institute for Astrophysics, Garching
- Nanyang Technological University
- National Aeronautics and Space Administration (NASA)
- Princeton University
- Technical University of Munich
- The Hebrew University of Jerusalem
- University of Bergen
- University of Birmingham
- University of Connecticut
- University of London
- University of Minnesota
- University of New South Wales
- University of St Andrews;
- Vrije Universiteit Amsterdam (VU)
- 24 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 6 days ago
applied mathematics, control, or related fields, with knowledge in several of the following areas: Graph theory and network modeling Dynamical systems and physical modeling (ODE/PDE, multi-agent systems
-
Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
-
Omer Ben-Neria Logic, set theory Shai Evra Graph theory, representation theory, number theory Adi Glucksam Complex analysis, potential theory, and dynamics Or Hershkovits Geometric analysis
-
and different approaches can be tested to align the human and agent variants. The PD will experiment with symbolic techniques using Knowledge Graph representations of the world, Large Language Model
-
, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
-
of location, qualitative dimensions, modal logics, graph theory, weighted networks, topology, mathematical morphology, and more. In sum: there are many ways to be one. The project goals include: pioneering
-
and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
-
Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
-
relevant to modern data science (e.g., Bayesian or frequentist inference, information theory, uncertainty quantification, high-dimensional methods). Programming skills in Python and/or R, with evidence of
-
to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal