Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; Swansea University
- University of Nottingham
- ; The University of Edinburgh
- ; Newcastle University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Exeter
- Imperial College London
- University of Cambridge
- ; City St George’s, University of London
- ; University of Cambridge
- ; University of Leeds
- ; University of Southampton
- ; Brunel University London
- ; Cranfield University
- ; Loughborough University
- ; University of Bradford
- ; University of Bristol
- ; University of East Anglia
- ; University of Nottingham
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- Abertay University
- Harper Adams University
- The University of Manchester;
- University of Bristol;
- University of Glasgow
- University of Nottingham;
- 23 more »
- « less
-
Field
-
technical, economic, and social reasons. This leads to the need to integrate several new types of devices both at transmission and distribution level (e.g. renewable generation, HVDC interconnectors, electric
-
for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
-
leverage low-precision accelerators for scientific computing by using a number of tricks, known as "mixed-precision" algorithms. Developing such algorithms is far from trivial. We can look at computational
-
areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid
-
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
-
abort (or not engage) if the bright white lines that fit a defined and rigid expectation are not clearly visible. These systems use algorithms, rather than AI machine learning, to detect road markings and
-
-driven algorithms which can solve state estimation problems in fluid mechanics, such as inferring the instantaneous state of a fluid’s velocity field from sensors embedded in its boundary. The research
-
algorithms, validated navigation architectures, and new insights into next-generation intelligent mobility solutions. The student will undertake two industry placements at Spirent, use high-tech simulation
-
, stress markers, EEG, and ECG — will be collected by VR headsets and IoT devices. ML algorithms will analyse this data to identify trends, project risk factors, and propose tailored treatments. By combining
-
frameworks to ensure the developed processes are compliant, scalable, and environmentally responsible. Multiobjective optimization algorithms will be employed to balance key performance indicators such as