Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- University of Manchester
- ; University of Birmingham
- ; The University of Manchester
- ; University of Nottingham
- ; Loughborough University
- ; University of Surrey
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Exeter
- ; Cranfield University
- ; University of Leeds
- ; University of Reading
- ; City St George’s, University of London
- ; University of Sheffield
- ; University of Southampton
- ; University of Warwick
- ; University of Sussex
- UNIVERSITY OF VIENNA
- ; Edge Hill University
- ; King's College London
- ; University of Bradford
- ; University of Bristol
- ; University of Plymouth
- ; University of Strathclyde
- Harper Adams University
- University of Cambridge
- University of Sheffield
- University of Warwick
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; Lancaster University
- ; University of Cambridge
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Oxford
- Abertay University
- ; Aston University
- ; Brunel University London
- ; Coventry University Group
- ; Durham University
- ; London South Bank University
- ; Manchester Metropolitan University
- ; Queen's University Belfast
- ; Royal Northern College of Music
- ; St George's, University of London
- ; The Open University
- ; UCL
- ; UWE, Bristol
- ; University of Essex
- ; University of Hull
- ; University of Kent
- ; University of Portsmouth
- ; University of Stirling
- University of East London
- University of Liverpool
- University of Newcastle
- 50 more »
- « less
-
Field
-
et al (2015). A hybrid metaheuristic algorithm for the multi-depot covering tour vehicle routing problem. European Journal of Operational Research.
-
quantitative analysis skills and experience developing algorithms and/or conducting statistical analyses with biological datasets. Background and work knowledge in statistics, algorithms, optimization of novel
-
autonomous by embedding machine learning algorithms to search through different reaction parameters Person Specification Candidates should have been awarded, or expect to achieve, EITHER: A Bachelors degree in
-
of diagnostic and prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict the remaining useful life of electronic components, supporting studies in electronic
-
. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
-
mapping using a team of highly mobile legged or legged-wheeled robotic platforms. The research will investigate advanced algorithms for multi-robot coordination, dynamic path optimization, and collaborative
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility will
-
prototype/demonstrator of a low-cost smart sensor. To develop an efficient algorithm to process the vibration signals locally and to develop the firmware to be embedded within the sensor node. To validate
-
) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
-
developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility