Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- The University of Auckland
- Cranfield University
- ;
- University of Tübingen
- Technical University of Denmark
- ; Newcastle University
- ; University of Warwick
- Curtin University
- Forschungszentrum Jülich
- Nature Careers
- University of Adelaide
- University of British Columbia
- University of Copenhagen
- University of Groningen
- University of Luxembourg
- University of Twente
- ; Cranfield University
- ; Technical University of Denmark
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Ghent University
- NTNU - Norwegian University of Science and Technology
- RMIT University
- Technical University of Munich
- University of Texas at Austin
- Vrije Universiteit Brussel
- Østfold University College
- 21 more »
- « less
-
Field
-
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
-
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
-
stressors, including public scrutiny, and abuse both on and off the field. Failure to effectively cope with these demands can lead to increased error, inability to deal with non-sport life events, which may
-
, 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
-
and grippers offer improved safety and adaptability but introduce new challenges in design and control. Their development is still largely bio-inspired and trial-and-error based. Integrating flight and
-
interface, and all the way to quantum algorithms and applications. The long-term mission of the programme is to develop fault-tolerant quantum computing hardware and quantum algorithms that solve life
-
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
-
. After initial experimental results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used
-
results, further research is guided by trial and error with the goal of deriving intuitive trends. Data-driven approaches are attractive alternatives. Descriptors are used to characterize the molecular