Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- New York University
- Princeton University
- ;
- Bar Ilan University
- DURHAM UNIVERSITY
- Durham University
- Heriot Watt University
- Indiana University
- KINGS COLLEGE LONDON
- Nature Careers
- New York University of Abu Dhabi
- Technical University of Munich
- The Hebrew University of Jerusalem
- Umeå University
- University of Florida
- Virginia Tech
- 7 more »
- « less
-
Field
-
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
-
/ 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
-
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
-
following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph
-
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
-
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
-
include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
-
management, collection & visualization Social network analysis & graph theory Online tool/web development Running controlled experiments Game-theoretic modelling Excellent communication skills in English
-
) Experience with modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) Background in at least one of the following: graph learning, scientific computing, surrogate modeling, or ML theory Interest in
-
, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool