Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Nottingham
- Harper Adams University
- University of Cambridge
- ; The University of Edinburgh
- ; University of Birmingham
- ; The University of Manchester
- ; Swansea University
- Imperial College London
- Newcastle University
- University of Exeter
- University of Sheffield
- ; Cranfield University
- ; University of Nottingham
- KINGS COLLEGE LONDON
- University of Manchester
- University of Newcastle
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Bristol
- ; University of Cambridge
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- AALTO UNIVERSITY
- Abertay University
- Heriot Watt University
- The University of Edinburgh
- The University of Manchester
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Cambridge;
- ; Brunel University London
- ; Coventry University Group
- ; Edge Hill University
- ; Imperial College London
- ; Newcastle University
- ; University of Leeds
- ; University of Plymouth
- ; University of Warwick
- Durham University
- Heriot-Watt University;
- Loughborough University
- Loughborough University;
- The University of Edinburgh;
- University of Bristol
- University of Greenwich
- University of Liverpool
- University of London
- University of Nottingham;
- University of Oxford
- University of Sheffield;
- 44 more »
- « less
-
Field
-
challenges in high-speed electrical machine design for electrified transportation and power generation. Together, we will make technological advances that support the global transition toward net-zero
-
labs framework. This studentship will include cohort-based training and activities, enabling students to gain wider skills and develop valuable personal and professional networks. Project Description
-
neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
-
remuneration package (including 39 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your
-
. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading
-
, biologists, and engineers. You will also have the opportunity to present your research at international conferences, expanding your network and gaining valuable experience in scientific communication
-
and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing . This is a full time and a fixed-term contract (36 months ) based
-
be carried out under the UK Hypersonics Doctoral Network, which has been supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic
-
computational modelling to be used to design and re-engineer flower architecture. The RA's main focus will be on computational modelling of gene regulatory networks for predicting the mechanisms leading