Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- University of Cambridge
- University of Nottingham
- Newcastle University;
- Coventry University Group
- King's College London
- King's College London;
- Manchester Metropolitan University;
- The University of Manchester
- University of East Anglia
- University of Plymouth
- University of Sheffield;
- University of Strathclyde
- 3 more »
- « less
-
Field
-
chemistry, modelling, and scientific coding, and who are keen to develop these skills while contributing tools that advance the field and support clean growth and Net Zero technologies. Applicants should have
-
constraints. Physics‑Informed Neural Networks (PINNs) embed PDE residuals and boundary conditions directly into training, while operator‑learning approaches provide mesh‑agnostic mappings from inputs to flow
-
programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will
-
interdisciplinary systemic thinking for Net Zero. The ReNU+ vision is that they will become living examples of a highly skilled workforce delivering an equitable energy transition so that Net Zero is inclusive
-
, biologging, and coding) to map and analyse complex burrow structures and their usage at our established field-site in South Africa. You will combine this with long-term behavioural and life-history data from
-
‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ
-
are through stakeholder mapping and network analysis. Through a systematic review, document analysis and the analysis of case studies you will explore what strategies and narrative frames these stakeholders
-
‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ
-
technologies (such as electric vehicles and heat pumps) in Low Voltage (LV) networks. PEDs include Soft Open Points, Static Compensators (STATCOMs), and Smart Transformers (STs), which have been trialled and
-
dynamo. Project details The successful candidate will combine numerical simulations of existing and new magnetohydrodynamic (MHD) models implemented in our in-house code, with experiments using the Little