Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- The University of Auckland
- Cranfield University
- University of Tübingen
- ;
- Technical University of Denmark
- University of Luxembourg
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Warwick
- Curtin University
- DAAD
- Forschungszentrum Jülich
- Nature Careers
- University of Adelaide
- University of British Columbia
- ; Cranfield University
- ; Technical University of Denmark
- ; University of Reading
- ; University of Sheffield
- Aalborg University
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Ghent University
- NTNU - Norwegian University of Science and Technology
- Simula Metropolitan Center for Digital Engineering
- Technical University of Munich
- The University of Manchester
- University of Southern Denmark
- University of Texas at Austin
- Vrije Universiteit Brussel
- Østfold University College
- 20 more »
- « less
-
Field
-
over tedious, repetitive, critical, dangerous, and error-prone tasks. These narratives represent the extremes of a wide range of possible configurations. The PhD candidate will have to investigate how
-
Faculties Study Research Facilities International You are here: Home The page could not be found Possible reasons: You made a typing error. The page has been deleted or renamed. Back to the homepage
-
maintenance (O&M) practices for wind turbines, with a focus on fault types that degrade turbine and plant-level power performance. Identifying key signals or performance indicators related to asset health and
-
to join a cutting-edge research project at the intersection of microelectronics and quantum computing. As the quantum computing field rapidly advances toward large-scale, fault-tolerant systems, one
-
Faculties Study Research Facilities International You are here: Home The page could not be found Possible reasons: You made a typing error. The page has been deleted or renamed. Back to the homepage
-
, investigate error mitigation techniques Cooperate and actively work with international collaborators Your Profile: Master’s degree in physics, mathematics, or computer science Strong interest in both developing
-
system (including frequency response of generators and UFLS) Studying various credible and non-credible power system faults and their impact on interconnector flows, power system frequency and generator
-
to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve the same properties to protect for example, our energy grid. We
-
of underwater acoustic environment or low signal-to-noise environment. We will develop more effective deep learning to increase data communication speed and reduce error probabilities. The project aims
-
accurate reaction enthalpies and activation free energies for relevant intermediates. While quantum chemical predictions typically can provide sufficient accuracy of prediction (~1kcal/mol error