Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- University of Sheffield
- University of Oxford
- Cranfield University
- KINGS COLLEGE LONDON
- Imperial College London
- University of Birmingham
- University of Cambridge
- University of Glasgow
- UNIVERSITY OF SOUTHAMPTON
- University of Manchester
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Nottingham
- Durham University
- King's College London
- Nature Careers
- University of Bristol
- ; Newcastle University
- DURHAM UNIVERSITY
- Heriot Watt University
- Nottingham Trent University
- UNIVERSITY OF SURREY
- ; Swansea University
- ; The University of Manchester
- ; University of Cambridge
- University of Surrey
- ; University of Bristol
- ; University of Exeter
- ; University of Leeds
- Aston University
- Cardiff University
- Lancaster University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- The University of Southampton
- Ulster University
- University of London
- University of West London
- Wenzhou Business College
- ; Brunel University London
- ; King's College London
- ; University of Birmingham
- ; University of East Anglia
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; Xi'an Jiaotong - Liverpool University
- Arden University
- Birmingham City University
- City University London
- Glyndwr University
- Harper Adams University
- Kingston University
- Loughborough University
- Manchester Metropolitan University
- Oxford Brookes University
- UNIVERSITY OF GREENWICH
- University of Cambridge;
- University of Greenwich
- University of Leeds
- University of Leicester
- University of Newcastle
- University of Northampton
- University of Winchester
- University of the West of England
- 58 more »
- « less
-
Field
-
. The task of the theory group led by Prof Kyriienko at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will
-
scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
-
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
-
. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs
-
This position is ideally suited to someone wishing to transition from a post-doctorate career in academia to commercial software and algorithm development. You are not expected to be an AI expert
-
, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
-
related to software development and research. Understanding of fundamental data structures and algorithms for designing and implementing efficient software and models. Familiarity with cloud platforms and
-
mix of algorithm engineering and formal methods, alongside more traditional software engineering activities. This project involves developing software which is both mathematically rigorous, and
-
et al (2015). A hybrid metaheuristic algorithm for the multi-depot covering tour vehicle routing problem. European Journal of Operational Research.
-
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