Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Manchester
- University of Cambridge
- ; Swansea University
- ; University of Birmingham
- ; The University of Manchester
- ; University of Nottingham
- ; University of Exeter
- ; University of Surrey
- Harper Adams University
- ; City St George’s, University of London
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Southampton
- Newcastle University
- University of Oxford
- ; University of Cambridge
- AALTO UNIVERSITY
- University of Bristol
- University of Sheffield
- ; King's College London
- ; Loughborough University
- ; Newcastle University
- ; University of Bristol
- ; University of Leeds
- ; University of Warwick
- Imperial College London
- KINGS COLLEGE LONDON
- The University of Manchester;
- University of Newcastle
- ; Brunel University London
- ; Imperial College London
- ; Lancaster University
- ; University of East Anglia
- ; University of Reading
- ; University of Sussex
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Exeter
- University of Warwick
- University of Warwick;
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Plymouth
- ; University of Sheffield
- ; University of Strathclyde
- Abertay University
- Durham University
- Heriot Watt University
- Kingston University
- Nature Careers
- Nottingham Trent University
- Oxford Brookes University
- Royal Holloway, University of London
- Swansea University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The University of Edinburgh;
- UCL
- UNIVERSITY OF MELBOURNE
- University of Birmingham
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of Liverpool
- University of London
- University of Nottingham;
- University of Plymouth
- University of Sheffield;
- University of Strathclyde;
- University of Surrey
- 70 more »
- « less
-
Field
-
Academic Studentship. Application procedure Stage 1: Submit your completed online programme application for PhD Politics by 1 December 2024. We can guarantee eligible applications submitted by
-
, academia, government, and policy. The interview process is composed of two interviews. Following a first introductory interview (20min), a second online (or face to face if preferred) interview will be
-
combination of academic and industrial challenges which will enhance the student’s ability to tackle complex intellectual and practical aspects of computer vision and robotics. We are seeking talented
-
itself and changes the way it should appear at high photon energies. The details of this process can be explored both analytically and numerically, the latter using simulations of magnetohydrodynamics (MHD
-
realistic degradation from corrosion processes. The simulations will be integrated with mesoscale experimental to evaluate the constitutive response of smooth specimens degraded by corrosion. Given
-
section 9 and populate the fields as below: Type of Funding: Uni of Manchester Scheme Awarding Body (free text): SALC New Generation Status of Funding: Intend to Apply Application procedure You must submit
-
us to run large numerical simulations with billions grid points on mixed computer architectures including CPU and GPU machines. A current project is preparing the code set for the next generation of
-
algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
-
candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence
-
this research is that it should be possible to significantly improve the performance of extreme learning and assure safe and reliable maintenance operation by integrating this prior knowledge into the learning