Sort by
Refine Your Search
-
Listed
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- University of Ulster
- University of Warwick;
- UCL;
- Ulster University;
- University of Southampton;
- City University London
- Imperial College London
- University of Birmingham
- University of Birmingham;
- University of Hertfordshire;
- University of Leeds
- University of Leeds;
- ;
- Aston University
- KINGS COLLEGE LONDON
- King's College London
- Queen's University Belfast
- The University of Edinburgh;
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Nottingham;
- University of Stirling;
- University of Strathclyde;
- University of Surrey
- University of the West of England
- 19 more »
- « less
-
Field
-
high throughput PDU equipped with VOC sensors, an algorithm, and a database. The PDU will enable rapid (Ultimately, the PDU is intended to be a cost-effective, user-friendly, adaptable, and efficient
-
(Commonwealth Scientific and Industrial Research Organisation, Australian Government - CSIRO) in Australia will develop the world’s first open-access AI platform to address these challenges by streamlining
-
, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
-
at the Kennaook/Cape Grim Baseline Air Pollution Station (KCG-BAPS; 40°S, 144°E) through our partners at CSIRO (Ruhi Humphries). KCG-BAPS is situated at the latitude band of greatest low-cloud feedback on Earth and
-
ultrasound sensors, a technology first pioneered by the University College London Photoacoustic Imaging Group. Their primary areas of investigation will be increasing the performance of Fabry-Perot sensors in
-
The Sensor Enabled Research & Control Hub (SEARCH) at the University of Strathclyde are seeking to recruit a Research Fellow to develop, manage and coordinate R&D activities focused on in-process
-
statistical machine learning techniques to mine self-reports and sensor data to gain new insights towards assessment and longitudinal monitoring of bipolar disorder; b) work on sleep datasets exploring
-
for next generation bio-sensing. The post holder will work in close collaboration with scientists and engineers within industry to develop, test and validate sensor systems for advanced diagnostic
-
of novel sensing methodologies for next generation bio-sensing. The post holder will work in close collaboration with scientists and engineers within industry to develop, test and validate sensor systems
-
sensing methodologies for next generation bio-sensing/diagnostics. The post holder will work in close collaboration with scientists and engineers within industry to develop, test and validate sensor systems