Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; The University of Manchester
- Cranfield University
- ; University of Oxford
- ; Swansea University
- ; University of Southampton
- ; University of Warwick
- Abertay University
- University of Cambridge
- ; Cranfield University
- ; Loughborough University
- ; University of East Anglia
- ; University of Leeds
- ; University of Sheffield
- ; University of Surrey
- ; University of Sussex
- ; Aston University
- ; Brunel University London
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Birmingham
- ; University of Bristol
- ; University of Exeter
- ; University of Nottingham
- ; University of Plymouth
- ; University of Reading
- ; University of Strathclyde
- University of Newcastle
- University of Sheffield
- 20 more »
- « less
-
Field
-
. This project is intended to perform numerical studies and develop a methodology for the numerical analysis aimed at the effective damping of resonance regimes in bladed disks of gas-turbine engines using
-
analysts to develop numerical and laboratory experimental approaches to understand the impact of Arctic sea-ice thickening geoengineering approaches on nutrient and alkalinity cycling. Mode of study Full
-
numerical calculation skills and mathematical modelling skills Strong skills in solid state physics and quantum mechanics Experience in theoretical modelling and experimental investigation of optical devices
-
sustainable aviation fuel (SAF), and importantly, hydrogen. Plastics are comprised of numerous polymers, thus the products of each vary through chemical recycling processes This project seeks to develop an 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
-
of monopiles and jackets to depths of 80–100 m. Such solutions for these greater-than-standard depths should provide viable fixed-bottom designs to unlock numerous offshore sites with gigawatts of wind energy
-
High-Performance Computing is entering a revolutionary phase characterised by Exascale capabilities, with step-changes in technology enabling numerically intensive processes to answer outstanding
-
will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real-world conditions. This project is supported by brand-new laboratory facilities
-
. Experience in quantitative research in biology is essential. Desirable criteria include experience in standard laboratory techniques (including microscopy) and strong numerical skills. Month when Interviews
-
this, there are further sub-objectives during the investigation to achieve this goal: Predict thermal warpage effects on a supersonic intake at different flight times, coupled to a numerical model for the downstream