Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Nottingham
- University of Sheffield
- ; University of Exeter
- University of Cambridge
- ; University of Reading
- ; City St George’s, University of London
- ; University of Birmingham
- ; University of Warwick
- Imperial College London
- University of Newcastle
- ; Newcastle University
- ; University of Surrey
- ; Cranfield University
- ; University of Leeds
- ; University of Sussex
- University of Oxford
- ; The University of Edinburgh
- ; UCL
- ; University of Bristol
- ; University of Oxford
- ; University of Southampton
- AALTO UNIVERSITY
- Abertay University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Manchester
- ; Brunel University London
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; Imperial College London
- ; Loughborough University
- ; Royal Northern College of Music
- ; UWE, Bristol
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Sheffield
- ; University of Strathclyde
- Harper Adams University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nature Careers
- University of East London
- University of Liverpool
- 42 more »
- « less
-
Field
-
the range of activities that academic colleagues may be expected to perform. Key Accountabilities Teaching & Learning To provide high quality teaching and learning and student support Mentor and support
-
operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
-
essential—what matters most is curiosity, enthusiasm, and a willingness to learn. You'll be part of a vibrant research group with strong national and international links, and have the opportunity to travel
-
working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to applicants eligible for UK home
-
system using deep learning (DL). The project’s objectives include generating training data from synthetic datasets and real-world images (cadaver and actual intraoperative THR images), developing a marker
-
or computational modelling is desirable but not essential; applicants should demonstrate strong academic performance, resilience in the face of research challenges, a proactive attitude to learning and a willingness
-
, potentially including machine learning. This research will support the path to net zero flights and there will be opportunities to become involved in practical aspects of fuel system design and testing during
-
the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
-
the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
-
. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate