522 postdoc-in-thermal-network-of-the-physical-building PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- Cranfield University
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Cambridge
- ; University of Nottingham
- University of Manchester
- ; University of Southampton
- ; The University of Edinburgh
- University of Sheffield
- ; Newcastle University
- Harper Adams University
- ; Cranfield University
- ; University of Exeter
- University of Oxford
- ; University of Surrey
- ; University of Warwick
- Imperial College London
- University of Newcastle
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Oxford
- ; University of Sheffield
- AALTO UNIVERSITY
- University of Warwick
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Bristol
- ; University of Cambridge
- Brunel University
- The University of Manchester
- ; Brunel University London
- ; Edge Hill University
- ; King's College London
- ; Manchester Metropolitan University
- ; University of Leeds
- ; University of Plymouth
- Abertay University
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Exeter
- ; Lancaster University
- ; University of Reading
- ; University of Strathclyde
- ; University of Sussex
- Aston University
- Heriot Watt University
- Manchester Metropolitan University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Birmingham
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; St George's, University of London
- ; The Open University
- ; UWE, Bristol
- ; University of East Anglia
- ; University of Hertfordshire
- ; University of Hull
- ; University of Stirling
- Brunel University London
- Durham University
- Heriot-Watt University;
- KINGS COLLEGE LONDON
- King's College London
- Loughborough University
- Nature Careers
- Nottingham Trent University
- Oxford Brookes University
- UCL
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of Cambridge;
- University of Greenwich
- University of Hertfordshire
- University of Leicester
- University of Liverpool
- University of London
- University of Nottingham;
- University of Plymouth
- 73 more »
- « less
-
Field
-
for an enthusiastic and self-motivated candidate with a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline, for example Civil Engineering, Geotechnical Engineering, Engineering
-
The Intelli-Ingest Doctoral Network is an EU-funded Marie Skłodowska-Curie Action (MSCA) initiative is a network bringing together leading academic, clinical, and industrial partners to train a new
-
discussion regarding the PhD. This is an excellent opportunity for an enthusiastic graduate to build a strong skillset in interdisciplinary research and a collaborative network with both academic and
-
body, university research committee, research team, etc. Build appropriate networks within and outside the team. Ensure that all data collection undertaken as part of the project is done so ethically and
-
, University of London in August 2024. As a PhD candidate, you'll become an integral part of the School of Science and Technology (proud member of the Alan Turing University Network) and be supervised by leading
-
partners. Our research group is housed within the state-of-the-art £117M Dalton building facilities at Manchester Met. Project aims and objectives The primary objective of the study is to study the effects
-
short courses in the core subjects of this PhD programme including process intensification and green chemistry. This project is part of the Process Industries: Net Zero (PINZ) Centre for Doctoral training
-
to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About
-
cross-disciplinary in nature, building skills in molecular biology, bioinformatics, ecological mathematical modelling, algal physiology and cultivation. We are looking for a highly self-motivated
-
regulations and product certification due to the inherent uncertainty of how AI systems make decisions. Classical engineering development guidelines, are difficult to interpret or simply not transferrable to AI