Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; The University of Manchester
- Cranfield University
- ; Swansea University
- University of Nottingham
- ; University of Birmingham
- University of Sheffield
- ; Cranfield University
- ; The University of Edinburgh
- ; Newcastle University
- ; University of Bristol
- University of Cambridge
- ; Brunel University London
- ; University of Nottingham
- ; University of Southampton
- ; University of Strathclyde
- ; University of Warwick
- Abertay University
- Harper Adams University
- Imperial College London
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; Manchester Metropolitan University
- ; University of Exeter
- ; University of Greenwich
- ; University of Leeds
- ; University of Oxford
- ; University of Plymouth
- ; University of Sheffield
- ; University of Surrey
- ; University of Sussex
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Newcastle
- University of Oxford
- 28 more »
- « less
-
Field
-
(ToF-PET) provides critical functional and molecular insights to improve cancer staging but is currently limited by detector timing resolution and sensitivity. Metascintillators, an emerging family of
-
computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
-
-Based Modelling ✔ Data Science & Advanced Analytics with real-world SCADA data ✔ Renewable Energy Systems & Wind Turbine Engineering ✔ Industry Engagement & Research Commercialization ✔ Scientific Writing
-
this astonishing picometre fabrication precision. Further aims of the project include: Theoretical modelling of nanoscale effects and processes in SNAP Development of experimental methods of picometre-precise
-
treatment, material and energy flow analysis, integrated data modelling, systems dynamics modelling, circular economy, sustainability assessment performance, decision-support tool design Month when Interviews
-
described by patients, there are few interventions that are currently in place to support recovery. To determine how to best intervene in a cost-effective way, we need up to date cost estimates and quality
-
approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
-
deep generative models, e.g., diffusion, energy based, normalizing flow or transformer-based models. With a focus on the particular domain of molecules. The project will contribute to accelerate the drug
-
-fueled engine, power converters, and a battery energy buffer. Key tasks will include developing system-level models, optimising energy management, and coordinating power flow between subsystems to maximise
-
accomplished team! Your personal sphere of influence: We are looking for a PhD student to join the Environmental Psychology Group who is interested in research addressing one or more of the current ecological