Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- University of Oxford
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Glasgow
- KINGS COLLEGE LONDON
- Nottingham Trent University
- Cranfield University
- Loughborough University
- Nature Careers
- University of Manchester
- Wenzhou Business College
- Aston University
- Birmingham City University
- Cardiff University
- Heriot Watt University
- Imperial College London
- King's College London
- Lancaster University
- Ulster University
- University of Bath
- University of Birmingham
- University of Bristol
- University of Leicester
- University of West London
- ; Imperial College London
- Arden University
- DURHAM UNIVERSITY
- Durham University
- Manchester Metropolitan University
- Medical Research Council
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of London
- University of Newcastle
- University of Northampton
- University of Winchester
- University of the West of England
- 31 more »
- « less
-
Field
-
of this Research Officer is to work on Computational Solids Mechanics particularly developing computational coupled algorithms for thin and slender structures (e.g., beams, rods, shells) made of soft magneto-active
-
at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
-
Details A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns
-
of data from in-Situ AM Process Monitoring tools, machine agnostic algorithms will be generated for quality control. Knowledge transfer of the methods developed onto industrial machine platforms will be a
-
are critical especially around congested or critical infrastructures. This research aims to develop decision making and planning algorithms that can mitigate the risks challenging environments of AAM
-
require metrics that predict how well a given hearing aid algorithm will perform for a specific user in a particular acoustic environment. Existing approaches often rely on oversimplified assumptions about
-
socioeconomic impacts of artificial intelligence (AI), gender bias in algorithms, critical analyses of fintech, dynamics of platformisation, the emergence of digitally enabled forced labour, biometrics and
-
the areas of Data Science and Informatics as defined by the Bayes Centre and Huawei. Strong background and expertise in LLMs, edge systems, deep learning algorithms and computer systems. Experience and
-
algorithm, duality theory, and sensitivity analysis; Optimisation, focusing on single-variable optimisation, constrained optimisation involving non-linear objective functions with multiple variables, and the
-
programmes. The Computer Science programme is focused on software engineering, with modules in Software Engineering, Software Project Management, Data Structures and Algorithms and Data Base Systems. The