Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
applying quantum computing to addressing real-world challenges? Join us to develop quantum optimization methods that support the transition to sustainable and resilient electrical power systems! Information
-
Power Electronics and Power Electronic Control, Reliability and System Optimization research groups. They are also in relation to AAU Energy's Mission on Digital Transformation and AI as well as Energy
-
scientific publications. Knowledge of MRI physics would be a plus. Experience with variational methods and/or bi-level optimization. Initial contact with the field of medical imaging. Specific Requirements
-
theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description “Optimizing the functionality of Fe2P compounds through microstructural control
-
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
-
properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
-
Description This postdoctoral position is part of the CPER RITEMA project (Hauts-de-France Region). It contributes to the scientific axes of “energy efficiency and optimization of consumption in mobility and
-
apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
-
Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 17 days ago
inversion process for the separated P- and S-wave components, and develop the appropriate strategy for optimal reconstructions. This will directly contribute to the project's overarching goal of improving