Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Denmark
- The University of Arizona
- University of Washington
- Wayne State University
- KINGS COLLEGE LONDON
- New York University
- Princeton University
- Purdue University
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- ;
- Bar Ilan University
- CEA
- CNRS
- DURHAM UNIVERSITY
- Durham University
- Georgia State University
- Heriot Watt University
- Indiana University
- Leibniz
- New York University of Abu Dhabi
- Northumbria University;
- Oak Ridge National Laboratory
- Rutgers University
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- Texas A&M University
- The Hebrew University of Jerusalem
- The Ohio State University
- UNIVERSITE PARIS CITE
- UNIVERSITY OF SYDNEY
- Umeå University
- University of Arkansas
- University of Central Florida
- University of Florida
- University of Groningen
- University of Luxembourg
- University of Minnesota
- University of Sydney
- University of Virginia
- University of Zurich
- Virginia Tech
- 35 more »
- « less
-
Field
-
learning, small data learning · Active learning, Bayesian deep learning, uncertainty quantification · Graph neural networks This position involves active participation in a well-funded
-
/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
-
contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
-
and geometry on groups, harmonic functions, opinion dynamics and other stochastic processes on graphs Gil Ariel Bacterial swarming, collective motion in nature, stochastic thermodynamicsActive matter
-
graph states by exploiting the entanglement between the spin state of a carrier trapped in a quantum dot and the polarization of the photons successively emitted by the dot. We are now able to entangle
-
algorithmic graph theory. The purpose of the role is to contribute to the project "Algorithmic meta-classifications for graph containment", working with Professor Matthew Johnson, Dr Barnaby Martin and
-
Michael Bronstein, AITHYRA Scientific Director AI and Honorary Professor of the Technical University of Vienna in collaboration with Ismail Ilkan Ceylan, expert in graph machine learning, invites
-
relevant expertise: A PhD in Computer Science or a closely related field, with specialization in Quantum computing and Graph theory In this role, you will be responsible for conducting research on graph
-
The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
-
create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train