Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Manchester
- University of Birmingham;
- University of Cambridge;
- ;
- ; University of Surrey
- Imperial College London
- Newcastle University;
- The University of Manchester;
- University of Warwick
- University of Warwick;
- ; Coventry University Group
- ; Imperial College London
- ; The University of Manchester
- Imperial College London;
- King's College London Department of Engineering
- The University of Edinburgh
- The University of Manchester
- University of Birmingham
- University of Bristol
- University of Cambridge
- University of Derby
- University of East Anglia
- University of Liverpool
- University of Newcastle
- University of Plymouth
- University of Reading
- University of Sheffield
- University of Sussex;
- 19 more »
- « less
-
Field
-
that target diverse biological processes. These include DNA replication, transcription, translation and cell signaling. To exemplify, nucleoside analogues possess an accomplished history within therapeutic
-
random and deterministic systems and point configurations. Potential applications include lattices, point processes, random matrices, and random walks on groups. During the project you will work
-
at leading international conferences and publish in top-tier journals. The successful candidate will gain advanced expertise in multi-sensor fusion, signal processing, machine learning, and positioning
-
research group, which leads pioneering work in multi-sensor navigation, signal processing, and system integrity for aerospace, defence, and autonomous systems. The research will deliver a comprehensive
-
PhD Studentship in Physiology and Pharmacology Project title: Visualising Platelet Biogenesis: Intravital Imaging of Megakaryocyte Signalling in Real Time (UK fees only) Supervisors: Dr Alex Bye
-
/Python and signals processing Understanding of electromagnetics Experience with CAD and mechanical design How to apply: Interested candidates should submit a full formal application, guidance and the
-
capable of leveraging signals from terrestrial base stations, non-terrestrial networks such as LEO satellite, and complementary on-board sensors. Specifically, it will: To design reconfigurable airborne
-
science interlink prevention and prediction of wildfire risk, by contributing to the development of a fundamental physical model to understand the process of fire spread for wildfires, as part of a European
-
: Working knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Experience with CAD and mechanical design How to apply: Interested candidates should submit a full formal
-
performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power