Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- The University of Arizona
- Technical University of Munich
- University of Luxembourg
- AALTO UNIVERSITY
- Aalborg Universitet
- Aalborg University
- ICN2
- KINGS COLLEGE LONDON
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- The Hebrew University of Jerusalem
- University of Southern Denmark
- Virginia Tech
- Wayne State University
- Aarhus University
- Aix-Marseille University
- Aix-Marseille Université
- Arizona State University
- Bar Ilan University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Duke University
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); 27 Sep ’25 published
- INESC TEC
- Inria, the French national research institute for the digital sciences
- Iowa State University
- Jagiellonian University
- Karolinska Institutet (KI)
- King's College London
- King’s College London (University of London)
- MASARYK UNIVERSITY
- Masaryk University
- Nature Careers
- New York University of Abu Dhabi
- Oak Ridge National Laboratory
- Purdue University
- Rutgers University
- UNIVERSITY OF VIENNA
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published yesterday
- University of Cambridge
- University of Nevada, Reno
- University of Sao Paulo
- University of Sydney
- University of Washington
- Uppsala universitet
- 38 more »
- « less
-
Field
-
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
-
, REQUIRED EDUCATION LEVEL, PROFESSIONAL SKILLS, OTHER RESEARCH REQUIREMENTS PhD in Mathematics or Computer science, A good understanding of BFT ; Ability to link technical problems and algorithms, graphs
-
, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab , the 6GSPACE Lab , the HybridNetLab
-
internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural
-
probabilistic machine learning and geospatial sciences. Limited teaching may be arranged, if mutually agreed, in exchange for a contract extension. Qualification Requirements Applicants must hold a PhD degree in
-
systems onto real robots for tasks such as tracking, 3D reconstruction, object recognition, and visual SLAM. They will be working with a team composed of PhD students, Research Assistants, and Postdocs
-
) Social Media Analysis (iii) Algorithmic Privacy, (iv) Analysis of Academic Collaborations, (v) Human-Bot interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD
-
associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered
-
candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science. The position requires experience with at least one of the
-
projects ranging from score-based generative models, energy-based models, Bayesian analysis of graph and network structured data, highly multivariate stochastic processes; with data applications ranging from