Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- UNIVERSITY OF SOUTHAMPTON
- AALTO UNIVERSITY
- Imperial College London
- University of Birmingham
- University of Bristol
- University of Cambridge
- Durham University
- KINGS COLLEGE LONDON
- University of Nottingham
- Heriot Watt University
- The University of Southampton
- City University London
- DURHAM UNIVERSITY
- Swansea University
- University of Surrey
- ; University of Cambridge
- Glyndwr University
- King's College London
- Kingston University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Greenwich
- University of Newcastle
- University of Sheffield
- University of Stirling
- 19 more »
- « less
-
Field
-
to) fundamental research in machine learning or statistics, algorithm design, the application of AI methods in science, healthcare, social sciences, or business. You should have a PhD or equivalent level of
-
Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
-
-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent
-
. - Collaborating with interdisciplinary teams to design and implement innovative solutions in MLOps. - Developing and optimizing algorithms for model compression and efficiency improvement. - Staying abreast
-
. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
-
. You will focus on developing microwave techniques and associated electronics to precisely control the curing process, using AI-based algorithms to optimise outcomes. Full support will be provided
-
machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
-
development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
-
decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
-
position is part of the AI2 (Algorithmic Assurance and Insurance) research initiative, an ambitious programme supported by the UK Prosperity Research Scheme with partners from both industry and academia. Our