Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- UNIVERSITY OF SOUTHAMPTON
- AALTO UNIVERSITY
- University of Cambridge
- University of Bristol
- Durham University
- Imperial College London
- KINGS COLLEGE LONDON
- University of Birmingham
- University of Nottingham
- DURHAM UNIVERSITY
- Heriot Watt University
- City University London
- King's College London
- Swansea University
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Surrey
- ; University of Strathclyde
- Glyndwr University
- Kingston University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF GREENWICH
- University of Glasgow
- University of Greenwich
- University of Newcastle
- University of Sheffield
- University of Stirling
- 19 more »
- « less
-
Field
-
real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
-
real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
-
An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
-
algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn
-
fundamentally more energy-efficient Computational Fluid Dynamics algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient
-
EPSRC-funded project, MAPFSI that will be focused on developing experimentally-validated computational algorithms for fluid-structure interaction problems including multiphysics effect of electromagnetism
-
into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
-
or more of: the use of micro/nanofabrication and materials characterization tools; computational multi-physics/electromagnetics modelling and/or the application of machine learning algorithms; experimental
-
, leading and delivering innovative research to characterise and understand the search landscape and algorithm dynamics induced by combining complex optimisation problems and methods. Description of Duties
-
based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing