Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; University of Birmingham
- Cranfield University
- ; Swansea University
- ; University of Nottingham
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- ; University of Southampton
- The University of Manchester;
- University of Oxford
- ; Aston University
- ; Durham University
- ; The Open University
- ; The University of Edinburgh
- ; University of Greenwich
- AALTO UNIVERSITY
- Durham University
- Harper Adams University
- Imperial College London
- Loughborough University
- Loughborough University;
- UNIVERSITY OF MELBOURNE
- University of Birmingham
- University of Cambridge
- University of Glasgow
- University of Liverpool
- University of Newcastle
- University of Sheffield
- 19 more »
- « less
-
Field
-
sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
-
of quantum sensors for acceleration sensing is a key priority due to its potential to revolutionise inertial navigation, environmental monitoring and geological surveying. Presently, the acceleration sensing
-
infectious diseases such as gastrointestinal (GI) infections, respiratory infections and sore throats. Using GI infections as a case study, the project will compare trends in OTC medication sales to other
-
to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging through health, retail, mobility, energy and communications. Using GI infections as a case study
-
filled. This fully funded PhD explores AI-native and sensing-aware wireless systems where communications and sensing are co-designed end-to-end. You will unify modern machine learning, statistical signal
-
generation of experts in ingestible medical technologies. These orally delivered, minimally invasive devices are designed to traverse the gastrointestinal (GI) tract, enabling diagnostics, therapy, sampling
-
on delivering improved accuracy and quantification of resilience in diverse challenging environments, from urban canyons to remote, infrastructure-limited regions. Cranfield University is a specialist
-
@contacts.bham.ac.uk . Supervisors: Dr Shashwat Sharma (s.sharma.11@bham.ac.uk ) References: Feel free to look through my past publications to get a sense of the work we will do together: https://scholar.google.com
-
Hours: Full time (with possibility of less than full time upon agreement with Programme Director and funder) Contract: Fixed-term for 3 years Location: Liverpool/Remote/Overseas (Global South) Fully
-
physical and numerical modelling. Feel free to reach out to the project supervisors if you have any questions. Entry requirements: The ideal applicant will be enthusiastic and self-motivated with a first