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 Southampton
- ; University of Warwick
- ; University of Surrey
- ; Newcastle University
- ; University of Exeter
- ; Cranfield University
- ; Loughborough University
- ; University of Nottingham
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- ; University of Sheffield
- ; University of Sussex
- Imperial College London
- University of Newcastle
- ; Brunel University London
- ; University of East Anglia
- ; University of Strathclyde
- AALTO UNIVERSITY
- Abertay University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of Greenwich
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- Harper Adams University
- University of Oxford
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Copenhagen
- Aston University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Liverpool
- 42 more »
- « less
-
Field
-
source, has implications for heat network demand and electricity network demand. To model the implications of widespread adoption of new technologies, requires new demand profiles which these networks will
-
emissions and are being implemented to provide a carbon efficiency assessment of farm enterprises. The contribution and management of ensiling at the farm scale to these models has not been fully explored
-
engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype development would be
-
engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
-
have a 1st class degree (BEng or MEng/MSc) in electrical/mechanical engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine
-
. The resulting dataset will be analysed using Structural Equation Modelling (SEM) to quantify the relationships between these factors and uncover both direct and indirect pathways affecting behaviours
-
including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
-
, organisational and policy context of the National Health Service. The PhD research will focus on how bottom-up networks are involved in promoting change. In recent years, numerous networks of clinicians
-
join a vibrant, supportive research community (around 20-25 people involved in fluids modelling research). Collaborate with the Leonardo Centre for Tribology: Work with top researchers on experimental
-
, organisational and policy context of the National Health Service. The PhD research will focus on how bottom-up networks are involved in promoting change. In recent years, numerous networks of clinicians