Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- CNRS
- The University of Manchester
- Aalborg Universitet
- Aalborg University
- Centrale Supelec
- Cranfield University
- DAAD
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- Fritz Haber Institute of the Max Planck Society, Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Helmholtz-Zentrum Geesthacht
- Inria, the French national research institute for the digital sciences
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Instituto de Telecomunicações
- KU LEUVEN
- Leiden University
- Lulea University of Technology
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Newcastle University
- Queensland University of Technology
- Tallinn University of Technology
- Technical University of Denmark
- The Belgian Nuclear Research Centre
- The University of Manchester;
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Adelaide
- University of Bologna
- University of Essex
- University of Exeter
- University of Siegen
- University of Southern Denmark
- University of Surrey
- University of Twente
- Universität Siegen
- 31 more »
- « less
-
Field
-
energy resources. The expected outcomes include technical advancement of distributed algorithms for managing energy resources at customer premises. The benefits include more resilient, secure, private, and
-
Department: Electrical and Electronic Engineering Title: Intelligent Distribution System Operation for Low-Carbon Power Systems Application deadline: All year round Research theme: Power and Energy
-
(4DSTEM). This approach will combine three-dimensional charge distribution data, generated through atomistic simulations, with machine-learning-driven modelling to guide and refine the phase reconstruction
-
is optimally placed to improve the overall defence performance of a distributed counter-drone capability. The use of a multistatic radar network can potentially provide a significant improvement in
-
the Unconventional Communications and Computing Laboratory (UC2), led by Dr Michael T. Barros, which develops modelling and algorithmic methods for networked communication and computation under real-world constraints
-
; Distributed multi-agent sensing and cooperative positioning algorithms; Machine learning and data-driven methods for ambient awareness. Working Environment: The PhD will be conducted at the University
-
control algorithms that create value for multiple stakeholders, including EV users, aggregators, grid operators, and energy markets. – Develop advanced co-simulation platforms coupling distribution network
-
a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical
-
a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical
-
(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators