Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- ;
- ; The University of Manchester
- ; Swansea University
- ; Newcastle University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Bradford
- ; University of Exeter
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- University of Newcastle
- ; Aston University
- ; Brunel University London
- ; University of Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of East London
- ; University of Leeds
- ; University of Oxford
- ; University of Sheffield
- ; University of Warwick
- Aston University;
- Harper Adams University
- Newcastle University
- Oxford Brookes University
- The University of Manchester;
- UNIVERSITY OF EAST LONDON
- University of Manchester
- University of Sheffield
- 23 more »
- « less
-
Field
-
hardware/software accelerators and through energy-aware workload placement. The project overall will involve cutting-edge research towards holistic optimisation of energy efficiency in mobile networks by
-
effective continuum, replacing the explicit representation of individual pebbles with averaged flow properties that account for bulk flow resistance, heat transfer, and turbulence. While this significantly
-
, using micron-thickness gossamer components to maintain feasible launch masses. Despite the contrasting scales of these large gossamer satellites (LGSs), their structural shape will need to be carefully
-
research which combined efficient optimization and sequential reliability assessment. The project is funded through an EPSRC call to accelerate research outcomes to achieve a prosperous net-zero and is
-
in correctly identifying high acuity cases within an increasing volume of lower acuity calls. This project will use mixed methods to assess the impact of this change. Data modelling and analysis will
-
electrodes hold significant promise for improving bioelectronic systems, enhancing energy generation and storage, and accelerating the adoption of renewable energy applications. We invite applications for a
-
. Email: Xin.Dong@nottingham.ac.uk Due to the high volume of applications, we will only be contacting shortlisted candidates. Applications will be evaluated on a rolling basis until a suitable candidate is
-
techniques and advanced sampling methods to bring a significant advancement in reducing high-fidelity runs to accelerate the engineering design, validation process and improve the robustness of the prediction
-
Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
-
date We expect to communicate the outcome to applicants by the dates specified above. In some instances due to the competition for places and the volume of applications received, it may be necessary