Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- University of Oxford
- KINGS COLLEGE LONDON
- University of Glasgow
- UNIVERSITY OF VIENNA
- University of Manchester
- Imperial College London
- Nottingham Trent University
- University of Cambridge
- Nature Careers
- Aston University
- Cardiff University
- Cranfield University
- DURHAM UNIVERSITY
- Durham University
- Lancaster University
- Ulster University
- University of Birmingham
- University of Bristol
- University of London
- University of West London
- Wenzhou Business College
- ; University of Cambridge
- Arden University
- Birmingham City University
- Heriot Watt University
- King's College London
- Loughborough University
- Manchester Metropolitan University
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Leicester
- University of Newcastle
- University of Northampton
- University of Winchester
- University of the West of England
- 28 more »
- « less
-
Field
-
the results of which would be used to enrich the available experimental data in order to develop a Design for Manufacture and Performance concept based on machine learning algorithms where the required
-
argon. The analysis of the ProtoDUNE data will help to validate calibration techniques and particle identification algorithms. The candidate should have a good knowledge of particle physics and experience
-
. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical analysis of classical problems in numerical analysis in the framework of modern algorithms
-
and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service
-
, and maintaining software systems to support these research projects. This includes building data pipelines, developing algorithms, and ensuring that data is stored efficiently and is accessible to all
-
to work across disciplines, with an interest (or willingness to develop expertise) in areas such as machine learning, route planning algorithms, aircraft design and testing, and systems engineering. For a
-
Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
-
, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
-
electromagnetic design. We will explore advanced topologies for mmwave metasurfaces, design novel reconfiguration mechanisms, and develop intelligent algorithms to optimize scattering characteristics in real-time
-
and Algorithms Ethics and Responsible AI The post holder will be expected to lecture on modules and programmes at undergraduate and postgraduate levels and take on programme leadership duties (at Senior