Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- ;
- Durham University
- DURHAM UNIVERSITY
- AALTO UNIVERSITY
- King's College London
- University of London
- Heriot Watt University
- University of Cambridge
- University of Liverpool
- Manchester Metropolitan University
- University of Oxford;
- Imperial College London
- University of Nottingham
- University of Reading
- Aston University
- Nature Careers
- The University of Edinburgh;
- University of Glasgow
- University of Glasgow;
- University of Newcastle
- Imperial College London;
- John Innes Centre
- King's College London;
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- UNIVERSITY OF READING
- University of Cambridge;
- University of Exeter;
- University of Liverpool;
- University of Manchester
- University of Nottingham;
- ; University of Cambridge
- ; University of Exeter
- Aston University;
- Birmingham City University
- Durham University;
- Ellison Institute of Technology, Oxford Limited
- Harper Adams University
- Harper Adams University;
- Heriot-Watt University;
- Medical Research Council
- NORTHUMBRIA UNIVERSITY
- Newcastle University
- Northumbria University;
- Nottingham Trent University
- Royal College of Art
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- University of Bath
- University of Birmingham
- University of Durham
- University of Essex;
- University of Exeter
- University of Leeds
- University of Reading;
- University of Sheffield
- University of West London
- Université de Haute-Alsace
- 50 more »
- « less
-
Field
-
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
-
) integrating blockchain systems into AI-driven monitoring, predictive analytics, and digital twins (virtual models of CO2 conversion processes that mirror real-world performance) to support real-time
-
50 Faculty of Life Sciences Startdate: 18.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 17.08.2029 Reference no.: 4247 Explore and teach
-
The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
-
the volcanoes of the Eastern Caribbean as a focal point and, with our international partners, will demonstrate how this knowledge can improve monitoring and warning systems in the Eastern Caribbean. The
-
researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state-of-the-art results in many applications. As a leading
-
Travel ” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals. About You Applicants must have an Undergraduate Degree in
-
, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of
-
conditions. The postholder is expected to be a central link in the communication of staff involved in the project. In particular, this includes collaboration with a second PDRA employed by the project