Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; University of East Anglia
- ; The University of Manchester
- ; University of Warwick
- University of Nottingham
- ; University of Nottingham
- ; University of Surrey
- ; Loughborough University
- ; Swansea University
- ; University of Exeter
- ; University of Leeds
- ; University of Plymouth
- University of Cambridge
- ; University of Birmingham
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; Cranfield University
- ; Manchester Metropolitan University
- ; University of Southampton
- Swansea University
- University of Exeter
- University of Oxford
- University of Sheffield
- ; Anglia Ruskin University
- ; Aston University
- ; City St George’s, University of London
- ; London South Bank University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Newcastle University
- ; Queen Mary University of London
- ; UWE, Bristol
- ; University of Bradford
- ; University of Bristol
- ; University of Cambridge
- ; University of Greenwich
- ; University of Hull
- Aston University
- Newcastle University
- Sheffield Hallam University
- Ulster University
- University of Birmingham
- University of Glasgow
- University of Liverpool
- University of Newcastle
- 37 more »
- « less
-
Field
-
part of the larger project. The scope of the PhD project is to implement, use, and where required develop, statistical machine learning tools to identify DNA mutations that cause particular types
-
The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
-
Location: United Kingdom (Remote or Belfast, NI Office based) Position Overview We are seeking a Senior Machine Learning Researcher with deep expertise in computer vision and hands-on experience
-
machine learning algorithms, so that the resulting AI model can run on a variety of devices, including UAVs (e.g. drones) that may be used in turbine inspection. The overall aim is the design of a portable
-
; Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 27 days ago
ESRC DTP Strategic Joint Studentship University of Nottingham and University of Birmingham The Midlands Graduate School is an accredited Economic and Social Research Council (ESRC) Doctoral Training Partnership (DTP). One of 15 such partnerships in the UK, the Midlands Graduate School is a...
-
is to develop a highly innovative ‘Lab on a Bench (LoB)’ setup, integrated with Machine Learning algorithm, as a high throughput method for screening and developing formulated products that are used in
-
operating point and environmental turbulent flow conditions. Understanding of all the former conditions is critical to inform industry about the performance of tidal turbines and to develop a machine learning
-
oxides, hydroxides and hydrides using a combination of solid-state density-functional theory (DFT) and machine-learning force fields (MLFFs). DFT methods will be used to study materials of interest
-
quantum chemistry (QM), machine learning (ML), and high-throughput experimentation (HTE). The objective is to develop a data-driven framework that enhances the efficiency and effectiveness of catalyst
-
techniques. This research proposes a novel framework that integrates Machine Learning (ML) for structural health monitoring (SHM) and design optimization of CFDST wind turbine towers. The study will focus