Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- Technical University of Denmark
- University of Luxembourg
- New York University
- Purdue University
- University of Southern Denmark
- University of Texas at Arlington
- University of Washington
- Aix-Marseille University
- Aix-Marseille Université
- Arizona State University
- Bar Ilan University
- Delft University of Technology (TU Delft); yesterday published
- Durham University
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); 27 Sep ’25 published
- Georgia State University
- ICN2
- Jagiellonian University
- KINGS COLLEGE LONDON
- Karolinska Institutet (KI)
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University of Abu Dhabi
- Northumbria University;
- THE UNIVERSITY OF HONG KONG
- Technical University of Munich
- The Hebrew University of Jerusalem
- The Ohio State University
- The University of Arizona
- UNIVERSITE PARIS CITE
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Groningen
- University of Nevada, Reno
- University of Sydney
- University of Virginia
- Virginia Tech
- 31 more »
- « less
-
Field
-
date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer science, computational chemistry / biochemistry, applied
-
Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
-
, and biophysical modeling. • Experiment with collaborative research methods, contributing to the lab’s graph-based notetaking and knowledge base. • Explore innovative research dissemination methods
-
this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
-
graphs and digital platforms. For this purpose, we conduct in-house research, cooperate with renowned universities and research associations and maintain an international network. FIZ Karlsruhe is a GmbH