23 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"https:" positions at The University of Manchester in United Kingdom
Sort by
Refine Your Search
-
recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant
-
2026. We recommend that you apply early as the advert may be removed before the deadline. This PhD project will develop generative hybrid models that integrate AI foundation models with physical
-
modelling frameworks to provide detailed characterisations of design conditions for large scale turbine arrays. The developed models and understanding will be used alongside standard flow models and as input
-
, this will enable a design-led approach to develop catalytic processes for dimetallocenes, such as alkyne hydroamination. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a
-
to increase each year. The start date is October 2026. As the aviation and power generation sectors move towards decarbonisation, gas turbine manufacturers are developing hydrogen-fuelled engines. However
-
project. Laser beam sources, process development and control to enable better control of mass transfer and laser-matter interactions. The “design-manufacture-inspect-model-test” approach of this project
-
This project aims to perform laser spectroscopy studies on proton-rich nuclei, in order to investigate the evolution of nuclear structure of these exotic species. At the edges of the nuclear
-
to develop and analyse implementable, fully discrete methods for function approximation, density estimation, and/or time-dependent PDEs or SDEs in high dimensions, with links to UQ and theoretical
-
recently constructed electrostatic ConeTrap and use it, for the first time, to facilitate high efficiency, high precision laser spectroscopy. The developed spectroscopy will then enable precision
-
generation and evolution under controlled variations in bathymetry and bed roughness, and will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real