Sort by
Refine Your Search
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- ;
- ; The University of Manchester
- ; University of Southampton
- ; Cranfield University
- ; Loughborough University
- ; University of Oxford
- ; University of Surrey
- Abertay University
- ; Aston University
- ; Brunel University London
- ; Durham University
- ; Swansea University
- ; University of Birmingham
- ; University of East Anglia
- ; University of Exeter
- ; University of Sheffield
- ; University of Strathclyde
- ; University of Sussex
- Imperial College London
- Loughborough University
- Newcastle University
- University of Birmingham
- University of Newcastle
- University of Sheffield
- University of Strathclyde;
- 17 more »
- « less
-
Field
-
: This position is ideal for candidates with a background in civil engineering, structural engineering and mechanical engineering. Applicants should demonstrate: A strong interest in both experimental and numerical
-
the areas of fluid dynamics, turbulence and net-zero combustion. There is substantial scope for the student to direct the project with the main focus on (i) Generating an advanced Direct Numerical Simulation
-
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
-
standard bank holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent work We are committed to staff
-
analyse the experimental data, developing techniques to extract information about the rotational orientation dependence of the gas-surface reaction, as well as performing numerical simulations to determine
-
Arginine is an amino acid involved in numerous biological functions including cell proliferation, cell signalling, muscle contraction, immunity, neurotransmission, vasodilation and the synthesis
-
Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
-
, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
-
targets the development of advanced coatings to prevent cell-to-cell propagation during runaway events. It combines experimental studies, numerical modelling, and real-world burner rig testing, culminating
-
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