Sort by
Refine Your Search
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ; City St George’s, University of London
- ; The University of Edinburgh
- University of Cambridge
- University of Manchester
- ;
- ; Aston University
- ; Swansea University
- ; University of Cambridge
- ; University of Nottingham
- ; University of Warwick
- KINGS COLLEGE LONDON
- Lancaster University;
- The University of Edinburgh
- UNIVERSITY OF MELBOURNE
- University of London
- University of Oxford
- University of Surrey
- University of Warwick
- 10 more »
- « less
-
Field
-
. The successful candidate for this PhD position will be involved in the experimental and theoretical development of a new technology called Surface Nanoscale Axial Photonics (SNAP), which will enable
-
$116,094 (PhD Enty Level - $108,156) p.a. plus 17% super Innovative suicide prevention research / Leverage digital mental health solutions / Support carers of at-risk youth Apply now to join a cutting-edge
-
Deadline: 30 June 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position is
-
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
-
of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
-
digital health systems. The project’s emphasis on explainability, traceability, and system integrity positions graduates as key contributors to the future of responsible AI deployment.
-
This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
-
This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
-
This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
-
’ opportunities and agency, using qualitative and creative methods (e.g. “Theatre of the Oppressed” or others). Please note - this position includes full funding for PhD tuition fees (UK rate) for a duration of