Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- The University of Manchester
- ;
- ; Swansea University
- University of Nottingham
- University of Sheffield
- ; The University of Manchester
- ; The University of Edinburgh
- University of Cambridge
- ; Brunel University London
- ; Cranfield University
- ; University of Nottingham
- ; University of Southampton
- Harper Adams University
- Newcastle University
- University of Bristol
- University of Cambridge;
- University of Glasgow
- ; Aston University
- ; Coventry University Group
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Birmingham
- ; University of Bristol
- ; University of Exeter
- ; University of Oxford
- ; University of Plymouth
- ; University of Warwick
- AALTO UNIVERSITY
- Abertay University
- Brunel University London
- Coventry University Group;
- Imperial College London
- Manchester Metropolitan University
- The University of Edinburgh
- The University of Manchester;
- UNIVERSITY OF VIENNA
- UWE, Bristol
- University College London
- University of Exeter;
- University of Newcastle
- University of Nottingham;
- 33 more »
- « less
-
Field
-
This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
-
testing and computational modelling. You'll become part of a diverse, multidisciplinary team that prioritises equity, diversity, and inclusion, gaining specialist expertise in hydrogen-material interactions
-
, currently requiring sufficient batteries or periodical recharging (and redeployment) from an expensive research vessel. To reduce the emissions and the costs associated with these vehicles, you will explore
-
, embrittlement, and cracks. This will be achieved by integrating ultrasonic arrays with inverse modelling methods to interpret historical data. Additionally, the project will explore the failure mechanisms
-
instrumentation for acoustic flow measurements, sensitivity to intake operating conditions and the exploration of data analysis methods to improve the overall measurement system accuracy. It will also include
-
, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where