Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- Harper Adams University
- ; The University of Edinburgh
- University of Cambridge
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Nottingham
- Imperial College London
- University of Sheffield
- ; Cranfield University
- ; Loughborough University
- ; Newcastle University
- ; University of Bristol
- ; University of Sheffield
- ; University of Southampton
- ; University of Warwick
- Abertay University
- Newcastle University
- University of Newcastle
- ; Brunel University London
- ; City St George’s, University of London
- ; University of Cambridge
- ; University of Oxford
- ; University of Surrey
- Heriot Watt University
- Trinity College Dublin
- University of Manchester
- ; Coventry University Group
- ; Edge Hill University
- ; Imperial College London
- ; University of Leeds
- ; University of Limerick
- ; University of Plymouth
- ; University of Stirling
- Heriot-Watt University;
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Exeter
- University of Greenwich
- University of Leicester
- University of Oxford
- 36 more »
- « less
-
Field
-
services would be to keep children close to their usual home (where safe to do so) and maintain their family and community networks often this is not possible and high cost out of area placements
-
provider: EPSRC DTP 25/26 Fully Funded Studentship Subject area: Algae biotechnology/computational biology/microbial community networks/ecological theory/evolutionary mechanisms/biomass productivity
-
emissions from transport. Decarbonising aviation is a vital part of achieving net zero. Hybrid and ‘all electric’ aircraft technologies offer a pathway to net zero. The electrification of aircraft, for both
-
sensitive to malicious deviations while remaining resource efficient. Solutions must operate effectively on network gateways or even capable IoT devices. The research will investigate statistical methods
-
each year. Modern applications—from power grids to vehicle platoons—depend on large networks of autonomous subsystems. Without a solid theoretical underpinning, ensuring both collective objectives
-
• Comprehensive skills training across the entire barley supply and value chain – bespoke to meet industry needs • Regular networking opportunities across a large and diverse consortium comprising 22 companies, 42
-
of Science and Technology (proud member of the Alan Turing University Network) and be supervised by leading experts in machine learning for healthcare. You will also be affiliated to the School of Health
-
of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students and colleagues located across the 4 nations of the UK. HDR UK’s mission is to unite the UK’s health data
-
. Our approach enhances T2 (Interconnected QC systems) through verification methods for connected networks, supports T1 (Integrated quantum demonstrators) via hardware-agnostic metrics, and enables T3
-
-informed data analytics tools for the predictive maintenance (PdM) strategy applications to high-value critical assets. Among others, the recently developed Physics-informed Neural Network (PINN) technique