Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- Harper Adams University
- ; The University of Edinburgh
- ; University of Birmingham
- ; Loughborough University
- ; University of Nottingham
- ; University of Warwick
- University of Cambridge
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Newcastle University
- ; University of Bristol
- Imperial College London
- ; Brunel University London
- ; Cranfield University
- ; University of Reading
- ; University of Sheffield
- ; City St George’s, University of London
- ; University of Bradford
- ; University of Cambridge
- ; University of Oxford
- ; University of Surrey
- ; University of Sussex
- Abertay University
- Heriot Watt University
- University of Manchester
- University of Newcastle
- University of Sheffield
- ; Coventry University Group
- ; Edge Hill University
- ; Imperial College London
- ; London South Bank University
- ; University of East Anglia
- ; University of Essex
- ; University of Leeds
- ; University of Plymouth
- ; University of Southampton
- ; University of Stirling
- UNIVERSITY OF VIENNA
- University of Leicester
- University of Oxford
- 34 more »
- « less
-
Field
-
Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
-
The student will benefit from working alongside a multidisciplinary team of engineers, mathematicians, and physicists at the University of Manchester as well as a wide collaboration network within the UK and
-
furnace (EAF) steelmaking. The research will support the steel industry’s transition to net-zero steel manufacturing and enhance the high-value utilisation of the new EAF steelmaking slags. Transition
-
with a wide network of stakeholders, and explore new avenues for medical applications. For ongoing work and publications on this project, please see our website: www.cnnp-lab.com . This is a 12-months
-
the performance of novel, renewable, wave energy harvesting approaches. Here the research ambition is to extend the state of art from small scale sensor networks (nW’s to mW’s), towards a vehicular scale (W’s to
-
network of research and engineering centres. The collaboration will include validating simulation results, refining modelling techniques, and exploring practical applications for AGS. This iCASE studentship
-
disorders network and through peer reviewed publications. PhD description: Based at the IMH, Nottingham, this PhD will be a jointly supervised mixed-methods project, initially assessing what service key
-
human capital, finance and investment, macroeconomics, regional and international comparisons, public policy, and the productivity challenges created by the new technologies and the transition to net-zero
-
to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking, and career development after the PhD. The faculty has outstanding facilities and works in partnership with
-
. Wand, Simon Gibbon, Mark Irwin, Flor Siperstein, Stuart Lyon, The effect of cross-linker structure on interfacial interactions, polymer dynamics and network composition in an epoxy-amine resin, Applied