Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- ; University of Nottingham
- ; University of Warwick
- Harper Adams University
- ; Loughborough University
- University of Cambridge
- ; Newcastle University
- ; The University of Edinburgh
- ; Brunel University London
- ; City St George’s, University of London
- ; Cranfield University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Bristol
- ; University of Leeds
- ; University of Reading
- ; University of Southampton
- ; University of Sussex
- Imperial College London
- University of Newcastle
- ; University of Exeter
- ; University of Oxford
- University of Sheffield
- ; Edge Hill University
- ; University of Bradford
- ; University of Cambridge
- ; University of East Anglia
- ; University of Sheffield
- ; University of Surrey
- AALTO UNIVERSITY
- Abertay University
- Heriot Watt University
- University of Manchester
- University of Oxford
- ; Aston University
- ; Coventry University Group
- ; Imperial College London
- ; King's College London
- ; London South Bank University
- ; Royal Northern College of Music
- ; University of Copenhagen
- ; University of Stirling
- ; University of Strathclyde
- UNIVERSITY OF VIENNA
- University of East London
- University of Glasgow
- University of Leicester
- 41 more »
- « less
-
Field
-
is characterised by complex and highly dynamic turbulent flows that define the performance and design of renewable energy systems and their infrastructure. This PhD project aims to enhance
-
also be opportunities in the wider community of researchers at UCL to develop new networks. This is a fixed-term role for 6 months in the first instance, with the possibility of extension (3 years in
-
shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. On the other hand, the numerical
-
contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you will collaborate with passionate minds across nine London campuses and a global network. This
-
attend international and national conferences to present your work and network with other scientists from across the globe. At the end of your PhD, you will be an accomplished and highly-capable scientist
-
the analysis of the complex data and cellular models (Big Data and Kavli Institutes). The DPhil will provide the student with multidisciplinary skills including specialized training in bioinformatics, genetic
-
open, reproducible science. This exciting and challenging project will be jointly supervised by Prof Rossiter (Soft Robotics) and Prof Kent (Psychology) but will offer many networking opportunities and
-
scale. Assist/contribute in preparing research outputs including reports, publications, and presentations Work collaboratively across academic and policy networks The role offers an opportunity to work
-
(RNCM) and Olympias Music Foundation (OMF), which aims to address their shared aspiration to better understand the complex challenges of teaching music within diverse local communities. Situated within
-
body, university research committee, research team, etc. Build appropriate networks within and outside the team. Ensure that all data collection undertaken as part of the project is done so ethically and