Sort by
Refine Your Search
-
Listed
-
Employer
- UNIVERSITY OF SOUTHAMPTON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Nottingham
- The University of Southampton
- City University London
- Imperial College London
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Hertfordshire;
- University of Oxford
- University of Southampton;
- University of Warwick;
- Aston University
- Aston University;
- Edinburgh Napier University;
- KINGS COLLEGE LONDON
- King's College London
- NORTHUMBRIA UNIVERSITY
- Nature Careers
- Northumbria University;
- Queen's University Belfast;
- UCL;
- University of Glasgow
- University of Leeds
- University of Leeds;
- University of Salford;
- 16 more »
- « less
-
Field
-
Wearables & Healthcare Systems Theme 3 Algorithms for Privacy, Security and Provenance Theme 4 Clinical Innovation & Translation Connected medical devices are increasingly employed in the drive towards
-
benefit society by advancing technologies that will underpin the design of the next generation of transport aircraft. Specifically, you will develop, test, and industrialise algorithms designed to simulate
-
. Supported Areas for START - Engineering Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems
-
of distributed characterization of hollow core fibres, including properties such as attenuation, polarization, but also pressure and content of air inside the fibres. The successful candidate will be based
-
space link for distributed sensing. The fibres/free space link connecting the nodes require phase stabilisation at optical frequencies. We are aiming to achieve stability better than 1 part in 1018 . We
-
into: Developing and implementing Quantum Dynamics algorithms for non-adiabatic. Studying the photo-activated non-adiabatic photochemistry of prototypical chromophores. Simulating measurable signals from time
-
unique combined system using an optimised AF scanning procedure that integrates Raman measurements to analyse lymph node biopsies within 10 minutes and machine learning algorithms to deliver quantitative
-
and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre at the Nottingham Breast
-
. This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with
-
implementing innovative signal processing algorithms for radar sensing and communication, establishing clear research objectives, and engaging in the collaborative projects. In addition, the position involves