Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- University of Cambridge
- ; University of Birmingham
- ; Swansea University
- ; University of Southampton
- ; University of Warwick
- ; University of Nottingham
- University of Sheffield
- ; University of Exeter
- ; Cranfield University
- ; Loughborough University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Reading
- University of Manchester
- ; University of Surrey
- ; University of Sussex
- ; Brunel University London
- ; City St George’s, University of London
- ; University of Bristol
- ; University of Oxford
- ; University of Sheffield
- AALTO UNIVERSITY
- University of Oxford
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- Harper Adams University
- ; King's College London
- ; University of Leeds
- UNIVERSITY OF VIENNA
- ; Aston University
- ; Lancaster University
- ; Manchester Metropolitan University
- ; University of Plymouth
- ; University of Strathclyde
- Brunel University
- Imperial College London
- University of Newcastle
- University of Warwick
- ; Coventry University Group
- ; Durham University
- ; Edge Hill University
- ; Imperial College London
- ; St George's, University of London
- ; The Open University
- ; UCL
- ; University of Bradford
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Stirling
- Abertay University
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nature Careers
- Nottingham Trent University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SOUTHAMPTON
- University of East London
- 56 more »
- « less
-
Field
-
process is poorly recorded and needs improvement. Aims and Objectives In collaboration with the Health Innovation Partnership, a modelling pipeline will be devised to cope with the challenges of data
-
: An intelligent ATM is an ideal solution to analyse and monitor the local device for possible physical or cyber threats. A typical ATM system is suitable to host such environments. A typical system, consisting of
-
learning (ML) techniques to gain new physical insights into fundamental questions about viscoelastic flows in both canonical configurations and porous media applications. ML techniques will be leveraged
-
application process, please contact gps.pgr@newcastle.ac.uk .
-
to achieve efficient and proactive reconstruction of the printing process, enabling real-time in-situ monitoring of large-volume material deposition and 2) How to adaptively compensate for size-induced defect
-
embanked, drained and reclaimed for agriculture, but now efforts are being made to restore them through a process called managed realignment. A key feature in the design of managed realignment sites is the
-
functional performance of the components and the key process parameters. The project will deal with the design of special process setups, testing its working principles and performances followed by
-
, nuclear engineering, fusion energy, chemical engineering, physics, chemistry, mechanical engineering to name a few. No prior experience is mandatory. Some knowledge of fusion basics and/or microstructural
-
the National Physical Laboratory (NPL) and Waters-TA Instruments, this project will investigate key measurement techniques, such as thermal analysis, rheology, and mechanical testing, to characterise
-
will provide training in nanomaterials synthesis, soft matter physics, X-ray scattering, and data-driven experimental design. The student will gain expertise in an emerging area of colloidal science