Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Cambridge
- University of Sheffield
- ; University of Warwick
- ; University of Nottingham
- ; University of Southampton
- ; Newcastle University
- ; University of Surrey
- ; Cranfield University
- ; Loughborough University
- ; The University of Edinburgh
- ; City St George’s, University of London
- ; University of Bristol
- AALTO UNIVERSITY
- ; University of Exeter
- ; University of Leeds
- ; University of Sheffield
- ; University of Sussex
- Imperial College London
- ; Aston University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Oxford
- ; University of Strathclyde
- Harper Adams University
- University of Newcastle
- ; Brunel University London
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Plymouth
- ; University of Reading
- Abertay University
- University of Oxford
- ; Coventry University Group
- ; Durham University
- ; Edge Hill University
- ; Imperial College London
- ; King's College London
- ; London South Bank University
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Bradford
- ; University of Copenhagen
- ; University of Portsmouth
- Aston University
- Heriot Watt University
- University of East London
- University of Liverpool
- 44 more »
- « less
-
Field
-
. That next steps toward clinical trials are detailed safety analysis of HDM-FH. This project will use NMP to model drug delivery and release. Experimental models will assess immunogenicity and establish if HDM
-
will contribute to the field by: Developing a conversational AI interviewer capable of conducting real-time adaptive interviews. Building an automated candidate ranking model based on interview
-
process conditions. Furthermore, this research will focus on the development of a model, allowing for virtual testing and optimisation of the chemical recycling process. This includes potential
-
for household who stay indoors, and to prepare for emergency responses. Possible quantitative methodologies include concurrent time-series analysis of outdoor and indoor environment data, prediction model
-
formulation. These models will enable rapid scenario testing, predictive analysis, and early decision-making, thereby reducing experimental workload and accelerating development timelines. Life cycle assessment
-
models. This theoretical project will facilitate close collaboration with experimental groups and enable benchmarking of theoretical predictions. The PhD researcher will be part of the Correlated Quantum
-
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
-
delivery or regenerative medicine. The student will formulate new 3D-printable materials and develop new design methods, for functional 4D-printed devices with either fast self-resetting responses or complex
-
to achieve complex and customisable micro-robots to provide personalised healthcare solutions. Advantages: This studentship will take place in world-leading research laboratories for additive manufacturing
-
modelling to provide a robust framework for integrating nature-based solutions into SO management. This can alleviate the pressure on treatment infrastructure and reduce dependence on grey infrastructure