Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ;
- ; The University of Manchester
- University of Nottingham
- ; University of Nottingham
- ; City St George’s, University of London
- ; University of Warwick
- ; Swansea University
- ; Newcastle University
- ; University of Exeter
- ; Loughborough University
- ; University of Birmingham
- ; University of Bristol
- ; University of Leeds
- ; University of Reading
- ; University of Southampton
- ; University of Surrey
- Abertay University
- ; Brunel University London
- ; Coventry University Group
- ; Cranfield University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; The University of Edinburgh
- ; UCL
- ; UWE, Bristol
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Greenwich
- ; University of Oxford
- ; University of Strathclyde
- ; University of Sussex
- Harper Adams University
- University of Sheffield
- 24 more »
- « less
-
Field
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
relevant field such as engineering, computer science, or applied mathematics. Experience or interest in AI, machine learning, or digital systems is beneficial. We welcome candidates from diverse backgrounds
-
behaviours? The proposed approach will focus on developing a multi-agent AI framework that integrates traditional penetration testing methodologies with machine learning techniques and advanced generative AI
-
PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
in machine learning methods for pattern recognition and prediction. An academic or practical background in sleep science and/or elite sport is highly desirable. The candidate will be embedded within
-
, the adoption of AI in project management remains in the nascent stages. This PhD project will critically investigate how AI is shaping the management of projects and project studies. It aims to generate new
-
, analytical and computer programming skills. Advantage will be given to applicants with experience in one or more of the following: signal processing, deep learning, acoustics, psychoacoustics, acoustic
-
Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in
-
epidemiology and machine learning. The scholarship will fund course fees up to the value of home fees*, a tax-free stipend of no less than £20,780 per annum), plus additional support for research expenses
-
treatment processes through advanced machine learning, validated against physics-based models and experimental data. 2. System Integration: Integrating the DTs into material and energy balance equations
-
includes over 500m2 of studio space at UWE’s Frenchay Campus. We invite studentship applications from enthusiastic individuals who are strongly motivated to help push the boundaries of machine learning and
-
This PhD project aims to advance Safe and Sustainable by Design (SSbD) pharmaceutical manufacturing by integrating cutting-edge methodologies, including computer-assisted retrosynthesis, end-to-end