Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds
- Kingston University
- CRANFIELD UNIVERSITY
- Cardiff University
- Cranfield University
- Manchester Metropolitan University
- Nature Careers
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- University of Birmingham
- University of Bristol
- University of Salford
- University of Surrey
- 7 more »
- « less
-
Field
-
PhD or equivalent professional qualifications and experience will be in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working
-
, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
-
. This group uses state-of-the-art Earth observation data and advanced computer techniques to study the Polar regions. We specialise in using Synthetic Aperture Radar (SAR) and altimetry satellite data
-
, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
-
that influence global ocean mixing, heat and nutrient distribution, and climate dynamics. Despite their importance, these currents remain poorly understood due to their intermediate scale and intermittent nature
-
individually, make a real difference. About the role The Department of Computer Science at the University of Surrey is seeking to recruit a full-time postdoctoral research fellow to work on a range of topics in
-
training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
-
people-centric predictive digital technologies to improve disaster and climate resilience) project aims to develop and implement an end-to-end people-centred computational framework (and accompanying
-
intelligent and highly distributed systems with the use of advanced AI/ML techniques. Research topics include future mobile networks and 6G, AI/ML for network intelligence, edge intelligence, distributed AI
-
, cloud computing, and distributed architectures, to enable efficient analysis of large-scale biomedical datasets. Collaborate with clinical and academic partners, both internally and externally, to ensure