Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- ;
- ; University of Birmingham
- ; City St George’s, University of London
- Imperial College London
- University of Cambridge
- ; Cranfield University
- ; Swansea University
- ; The University of Edinburgh
- ; University of Southampton
- ; Brunel University London
- ; Imperial College London
- ; King's College London
- ; The University of Manchester
- ; University of Nottingham
- ; University of Plymouth
- Abertay University
- Durham University
- Heriot Watt University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Newcastle University
- The University of Manchester;
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Cambridge;
- University of Exeter
- University of Hertfordshire
- University of Manchester
- University of Newcastle
- University of Oxford
- University of Sheffield
- 24 more »
- « less
-
Field
-
the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
-
rate). Overview Hydrogen combustion offers a lower environmental impact and higher energy efficiency than traditional fossil fuels, with applications in aerospace as well as power generation sectors
-
Due to unique properties of supercritical CO2 (sCO2), power generation systems using sCO2 as working fluid have many advantages over their counterparts, such as gas turbines and steam turbine power
-
coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
-
architectures will sharpen their ability to design trustworthy electronics at scale. In parallel, students will strengthen analytical reasoning, ethical decision-making, secure systems thinking, and research
-
from building-integrated photovoltaics to solar-powered greenhouses and aerospace technologies. However, despite significant progress, OPVs still face limitations in long-term operational stability
-
and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
-
-Royce, Thales, and UKRI—offering global relevance in low-power AI hardware, embedded intelligence, and adaptive electronics. The rapid advancement of Artificial Intelligence (AI) has necessitated
-
in leaf size, shape and surface texture, all species have an astonishing ability to self-right when flipped over. Preliminary data indicate that drastic differences in surface wettability between
-
the combined themes of human-computer interaction and critical computing. The lab will be exploring the notion of "deceptive by design" on all fronts: social identity cues in the design of LLM-based chatbots