109 algorithm-"Multiple" "NTNU Norwegian University of Science and Technology" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- University of Cambridge
- ; Newcastle University
- ; Swansea University
- ; Edge Hill University
- ; University of Birmingham
- ; University of Exeter
- ; University of Leeds
- Imperial College London
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of East Anglia
- ; University of Nottingham
- ; University of Oxford
- ; University of Southampton
- University of Newcastle
- ; Brunel University London
- ; Cranfield University
- ; Lancaster University
- ; University of Bristol
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- Harper Adams University
- Newcastle University
- University of Bristol;
- University of Exeter;
- University of Glasgow
- University of Nottingham;
- 22 more »
- « less
-
Field
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
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
-
powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
-
/ . The post offers an exciting opportunity for conducting internationally leading research on the whole spectrum of novel machine learning algorithms and practical medical imaging applications, aiming
-
, 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