40 post-doc-image-engineering-computer-vision Fellowship positions at UNIVERSITY OF SOUTHAMPTON
Sort by
Refine Your Search
-
://pubs.acs.org/doi/10.1021/acs.nanolett.1c04604 . Our project - sponsored by the UK’s Engineering and Physical Sciences Research Council – aims to improve the efficacy, efficiency and reproducibility of focused
-
in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
-
We are seeking a motivated and talented Research Fellow to join our dynamic team working at the forefront of biofilm engineering. This position is part of the BBSRC-funded Environmental
-
, faster, longer? Future of Healthful Work – a large scale interdisciplinary program we’re leading asks the question “what if work were healthful from the outset, rather than being something from which we
-
delivery of our innovative NxtGen Researcher Programme and help establish the NxtGen Researcher Academy. This multi-disciplinary position focuses on engaging young people in health research, combining
-
, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For further information please contact
-
The University of Southampton are seeking to appoint a fixed term research fellow to facilitate and deliver a programme of research on a Faraday Institution funded project: SL2FBat - Sustainable Low
-
Search over Personal Repositories - Secure and Sovereign”). The post is based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating
-
We are seeking a highly motivated post-doctoral researcher of high calibre to join our research program in the area of integrated silicon photonics. The position is funded by the EPSRC (Engineering
-
digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the