Sort by
Refine Your Search
-
Category
-
Field
-
aims to develop and apply the cutting edge of Bayesian analysis and machine learning to the optimisation of satellite configurations for GNSS-R. Combining the data science expertise of Dr Handley's
-
projects Maintaining and developing methodological/ technical skills to expand their scientific potential. The post-holder is expected to grow and develop in methodological skills and theoretical
-
simulation software packages and finite element analysis; previous knowledge in wireless power transfer; experience in spatial magnetic field shaping; experience with mathematical modelling and common convex
-
ice) of signals originating from GNSS (Global Navigation Satellite System) signals. The proposed project consists of educating a new generation of experts, at doctoral level, able to bring a qualitative
-
graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and networking with colleagues
-
computational modelling of a wideband, light and steerable antenna for GNSS-R applications (also contributing to the prototyping and test of "best" design according to the metrics developed); and to develop
-
on the ground (or sea, or ice) of signals originating from GNSS (Global Navigation Satellite System) signals. The proposed project consists of educating a new generation of experts, at doctoral level, able