Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Newcastle University
- University of Newcastle
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Southampton
- Imperial College London
- University of Cambridge
- University of Nottingham
- ; Loughborough University
- ; University of Cambridge
- ; University of Leeds
- ; University of Oxford
- ; University of Sheffield
- University of Sheffield
- ; Aston University
- ; Brunel University London
- ; Cranfield University
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Exeter
- ; University of Greenwich
- ; University of Surrey
- ; University of Warwick
- Abertay University
- Harper Adams University
- Newcastle University
- 20 more »
- « less
-
Field
-
et al (2015). A hybrid metaheuristic algorithm for the multi-depot covering tour vehicle routing problem. European Journal of Operational Research.
-
, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively-controlled structural colours
-
, the supervision team have obtained data access to indoor environment sensor data at national scale from a leading industrial collaborator. To pair with this big dataset, outdoor environment data at MetOffice can be
-
with an interdisciplinary team, including academics from the University of Birmingham, Newcastle University, University of Cambridge, National University of Singapore, and industry experts. Candidates
-
formulation, which displays striking similarities to that used by the Computational Fluid Dynamics (CFD) community, has inspired the investigators to adopt conventional CFD algorithms in the novel context
-
persists, even for the most powerful sensors operating in this way. A drastic departure from this sensing architecture is “multistatic” radar – enacted by a coherent network of spatially distributed sensors
-
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
-
. These problems have been compounded by the emergence of Artificial Intelligence. New forms of algorithmic manipulation have been used to sow discord in democratic societies, undermine trust in politics, and erode
-
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
-
debris (Kessler's Syndrome). To manage this, global sensor networks monitor our space environment in both optical and radio regimes. This research project will contribute to advancing space situational