Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- University of Nottingham
- University of Cambridge
- ; Swansea University
- University of Sheffield
- AALTO UNIVERSITY
- University of East Anglia;
- ; University of Nottingham
- ; City St George’s, University of London
- The University of Manchester
- ; The University of Manchester
- ; University of Exeter
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of East Anglia
- University of Newcastle
- The University of Manchester;
- University of Birmingham;
- University of Glasgow
- University of Oxford
- ; Imperial College London
- ; Newcastle University
- Bangor University
- Durham University;
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- NORTHUMBRIA UNIVERSITY
- Nature Careers
- Newcastle University;
- The University of Edinburgh;
- University of Bristol
- University of Liverpool
- University of Manchester
- University of Sheffield;
- University of Surrey
- ; Brunel University London
- ; Coventry University Group
- ; Loughborough University
- ; The University of Edinburgh
- ; UCL
- ; University of Birmingham
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Abertay University
- Coventry University Group;
- Harper Adams University
- King's College London;
- Liverpool John Moores University
- Loughborough University;
- Manchester Metropolitan University
- Northumbria University;
- Oxford Brookes University
- Royal Holloway, University of London;
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UCL
- University of Birmingham
- University of Exeter
- University of Exeter;
- University of Glasgow;
- University of Hertfordshire
- University of Leeds
- University of Leeds;
- University of Nottingham;
- University of Warwick
- University of Warwick;
- VIN UNIVERSITY
- 59 more »
- « less
-
Field
-
. You will focus on machine learning, but will be involved in all areas. There are also spinout opportunities. For details: PhD information sheet The team have wide experience studying bumblebee behaviour
-
modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
-
* Theoretical foundations of machine learning The group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP), established in 2007 jointly with Warwick Mathematics Institute and
-
appointment at Grade 7: E7 Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career researcher. E8 A track
-
filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
-
, biology, or a closely related discipline Desirable experience: optics and photonics, AI/machine learning, biology, or biomedical sciences Excellent English, analytical, and problem-solving skills UK
-
partnership with business, professions, the public services, the third sector and other research and learning providers. Applications are invited from potential doctoral students for the following social
-
learning’ approaches (such as Deep CNN’s) and ‘unsupervised learning’ approaches (such as reinforcement based learning and generative adversarial networks). Some of the main problems with Second Wave AI
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
Nov 18;23(22):14361. Schmalz G, Galler KM. Biocompatibility of biomaterials - Lessons learned and considerations for the design of novel materials. Dent Mater. 2017 Apr;33(4):382-393. Camilleri J, Atmeh