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 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 Copenhagen
- University of Southern Denmark
- University of Texas at Austin
- Vrije Universiteit Brussel
- Østfold University College
- 22 more »
- « less
-
Field
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
-
processing power of a novel photonic integrated circuit architecture [Heuck2023]. This includes studying the effects of optical loss and decoherence and methods to overcome these by error detection and
-
however require a significant measurement effort to be estimated, especially in the high-precision regime relevant for fault-tolerant quantum computing. You will investigate recent advances in
-
introduce new challenges in design and control. Their development is still largely bio-inspired and trial-and-error based. Integrating flight and actuation control in SAMs is particularly complex. DOMINANTS
-
parameters by trial-and-error, leading to a time consuming sub-optimal selection. In the domain of high precision machining, tools are prematurely discarded to avoid the risk of costly non-conformities
-
Autonomous methods for fault or anomaly detection and classification of PV plants with high accuracy are necessary for the monitoring of large-size PV power plants. Objectives also include other
-
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
-
of Error/Judgement Works within well-defined guidelines and established procedures, exercising sound judgment in setting priorities and completing tasks efficiently. Unusual or complex issues are escalated
-
classification levels. Performs other related duties as required in alignment with the qualifications and scope of the position. Consequence of Error/Judgement Works within well-defined guidelines and established
-
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