Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
-
Applications, written in English, should include: A detailed CV A list of publications (if any) A motivation letter Previous degrees List of courses with corresponding grades Contact details of 2 persons who agreed to give references Early application is highly encouraged, as the applications...
-
management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
-
and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our
-
management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we
-
of multi-connectivity (MC) frameworks for multi-orbit satellite systems (e.g., GEO-MEO-LEO) Develop, optimize, and experimentally validate MC-based reliability solutions for multi-orbit systems compared
-
, optimization, or data analysis Detailed knowledge of relevant models, techniques, and methods used in transportation and logistics, with the ability to develop new ones Interest in curiosity-driven and
-
Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
-
the flexibility to change the transmit waveform and signal processing units on the fly. Personnel at SPARC have contributed to several seminal papers, book chapters, and books in the fields of waveform optimization
-
and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities