Sort by
Refine Your Search
-
Listed
-
Employer
- UNIVERSITY OF SOUTHAMPTON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF SURREY
- University of Nottingham
- City University London
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- The University of Southampton
- University of Birmingham
- University of Glasgow
- University of Hertfordshire;
- University of Warwick;
- ;
- Edinburgh Napier University;
- Nature Careers
- Queen's University Belfast
- UCL;
- University of Sheffield
- University of Southampton;
- University of Surrey
- 11 more »
- « less
-
Field
-
on Antennas Design for 6G wireless communications. For this opening, the successful candidates will be required to have research experience in wireless communication systems design in a University and/or
-
to recruit a full-time post-doctoral Research Fellow to work on Antennas Design for 6G wireless communications. For this opening, the successful candidates will be required to have research experience in
-
Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
-
technology to monitor human parameters such as breathing rate. This post will require expertise in RFID and wireless technologies, antenna design and characterisation. To be successful with your application
-
human parameters such as breathing rate. This post will require expertise in RFID and wireless technologies, antenna design and characterisation. To be successful with your application, you will need
-
human parameters such as breathing rate. This post will require expertise in RFID and wireless technologies, antenna design and characterisation. To be successful with your application, you will need
-
antennas to immediately transmit the information to a medical doctor when urgent action is required. However, such batteries need to be completely safe and non-toxic, as well as energy dense and lightweight
-
. 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
-
. The post is part of the project that aims to develop digital twin frameworks within the Wind Energy sector with novel AI predictive maintenance algorithms for fault-tolerant, intelligent estimation
-
work with hands-on offloading algorithm design and development for IoT networks. The core responsibility is to build and validate edge-assisted offloading strategies, complete with software APIs, through