Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Sheffield
- University of Oxford
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Manchester
- UNIVERSITY OF VIENNA
- Imperial College London
- Nottingham Trent University
- University of Cambridge
- Nature Careers
- Aston University
- Cardiff University
- Cranfield University
- DURHAM UNIVERSITY
- Durham University
- Lancaster University
- Loughborough University
- Ulster University
- University of Birmingham
- University of Bristol
- University of Leicester
- 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
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Bath
- University of Newcastle
- University of Northampton
- University of Winchester
- University of the West of England
- 27 more »
- « less
-
Field
-
with MoniRail Ltd 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
-
developing new methods and techniques that will improve standard ML algorithms so as to achieve good performance outside their training distribution, by treating high-dimensional problems as an explicit
-
computational algorithms of different datasets, and implement novel algorithms within the framework of existing code, providing documentation and user support. You will be responsible for leading statistical
-
Engineer/Scientist Associate Experience in the use of data and analytics tooling within Microsoft Azure. Knowledge of machine learning algorithms and data science techniques. Why Arden: At Arden, you will
-
lab. Key Responsibilities Main Duties: Develop teleoperation interface with a robotic manipulator to facilitate human-robot interaction in remote handling. Design robot impedance control algorithms
-
include but are not limited to: programming, algorithms, software development, communications and protocols, distributed systems, databases, mobile applications, operating systems, cloud computing, web
-
for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
-
, algorithm development, AI, and machine learning, supporting fusion energy engineering through advanced simulation and workflow optimisation. You will work on impactful, collaborative projects across academia
-
(Biochemistry, Neuroscience) MSc degree (or equivalent) in Epidemiology, Biostatistics, Data Science or related discipline. Strong quantitative analysis skills and experience developing algorithms and/or
-
quality, and real-time AI performance. This research hub, tackles the intricate challenges of cyber-disturbances and data quality in Edge Computing (EC) environments supporting AI algorithms. The role