Sort by
Refine Your Search
-
Artificial intelligence and machine learning methods for model discovery in the social sciences
-
EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems
-
accurate models are leading to very challenging computational questions related to the computational efficiency and effectiveness. To address these challenges, many computationally efficient modelling and
-
Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
-
, predictive modelling and simulation will be carried out to assess delamination in cross-ply carbon fiber epoxy laminates. This research will benefit from excellent computing facilities, expertise in computer
-
Brain Decoding Models across Subjects School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
-
. This would reduce both system efficiency and durability. An advanced Computational Fluid Dynamics model will be developed in order to simulate the formation of aerosol, and the process of deposition of fine
-
approach aimed at generating a physically-based predictive model of the fatigue failure of carbon fibre reinforced plastic composites by combining state-of-the-art experimental testing facilities and novel
-
in handling stall onset and recovery. This project will focus on the modelling and control of hysteresis effects, under the framework of numerical optimal control. The aim is to develop advanced
-
aims to improve the current understanding of the oxyfuel combustion processes through performing detailed computational fluid dynamics modelling of the oxy-coal combustion and experimental investigations