Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; University of Nottingham
- ; University of Warwick
- University of Sheffield
- ; University of Leeds
- ; University of Reading
- ; Manchester Metropolitan University
- ; University of Birmingham
- ; University of Exeter
- ; Cranfield University
- ; Swansea University
- ; University of Oxford
- ; University of Surrey
- University of Cambridge
- University of Newcastle
- ; The University of Edinburgh
- ; University of Sussex
- Imperial College London
- University of Oxford
- ; City St George’s, University of London
- ; Newcastle University
- ; UWE, Bristol
- ; University of Bristol
- ; University of Southampton
- AALTO UNIVERSITY
- Abertay University
- University of Manchester
- ; Aston University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; Loughborough University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen Mary University of London
- ; Royal Northern College of Music
- ; UCL
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Sheffield
- ; University of Strathclyde
- ; Xi'an Jiaotong - Liverpool University
- Harper Adams University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Newcastle University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF VIENNA
- University of East London
- University of Liverpool
- 44 more »
- « less
-
Field
-
, at the University of Cambridge, UK. The Postdoc will work together with a team of students and research collaborators on the development of learning-based discovery of robot task/environment designs
-
2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
-
objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
-
/ . 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
-
Research Associate to join the Northern Net Zero Impact Accelerator project titled ECO-HAVEN: Energy Conservation for Households using Adaptive Edge Learning. This project develops a low-cost, privacy
-
We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
-
machine-learning surrogate models capable of delivering near-DFT (density functional theory) accuracy in just a few CPU seconds per structure. This approach will enable the high-throughput screening of tens
-
reducing waiting lists. This will be achieved through the following objectives: Acquire data and expert-based evidence and optimise data augmentation to ensure optimal hospital patient pathways through pre
-
integrates machine learning and statistics to improve the efficiency and scalability of statistical algorithms. The project will develop innovative techniques to accelerate computational methods in uncertainty
-
This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM