Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- University of Nottingham
- ; Swansea University
- ;
- The University of Manchester
- University of Cambridge
- ; University of Southampton
- University of Manchester
- ; City St George’s, University of London
- ; Cranfield University
- ; Manchester Metropolitan University
- ; The University of Manchester
- ; University of Birmingham
- ; University of Nottingham
- Harper Adams University
- UNIVERSITY OF VIENNA
- ; Brunel University London
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Surrey
- Royal Holloway, University of London
- University of Bristol
- University of Sheffield
- University of Warwick
- University of Warwick;
- ; Coventry University Group
- ; St George's, University of London
- ; University of Bristol
- ; University of Cambridge
- ; University of Hull
- ; University of Oxford
- ; University of Plymouth
- ; University of Sheffield
- ; University of Warwick
- Abertay University
- Bangor University
- Coventry University Group;
- King's College London
- Loughborough University;
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Nottingham Trent University
- The University of Manchester;
- University of Greenwich
- University of Hertfordshire
- University of Liverpool
- University of Nottingham;
- University of Surrey
- 38 more »
- « less
-
Field
-
involves feeding a metal filler wire, either coaxially or off-axis, into an electric arc to create a molten pool that solidifies on a substrate, enabling the layer-by-layer construction of 3D objects
-
distribution of normal cardiac anatomy and function (including motion) from healthy subjects. By establishing an understanding of "what normal looks like", these models will detect deviations from the norm and
-
of synthetic load profiles for domestic heat demand delivered via ASHPs and heat networks. Objectives: • To complete an evaluation of existing heat demand, based on available data sets; • To analyse
-
coupled computational framework capable of predicting crack initiation, propagation, and component failure under realistic operating conditions. Key Objectives: - Develop a finite element-based chemo-thermo
-
will be randomised to receive either standard of care (which includes a patient information sheet) or standard of care plus a nurse-led phone contact. Objectives: 1) To determine patients’ perspective on
-
into car cabins (to reduce the exposure of occupants) and the regions where pollutants accumulate (to be avoided by pedestrians and cyclists) need to be minimised. The PhD objective is to study the effects
-
establishing an understanding of "what normal looks like", these models will detect deviations from the norm and effectively identify potential anomalies during testing. You will explore both self-supervised
-
of the proposed replacement approaches will form an integral part of the proposed multi-objective optimisation approach. Such a methodology should help asset managers and system operators to make practical
-
of the PhD e.g. social work, health professional, accountancy etc is desirable. We are very keen to appoint the best candidate to produce knowledge and find solutions for looked-after children. We are aware
-
region and identify mutations. Develop and optimise bioinformatics tools to detect mutations using positive controls. Apply polygenic risk scores (PRS) to genome-wide SNP data to identify individuals