61 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at The University of Manchester
Sort by
Refine Your Search
-
environment. Students will benefit from: dedicated cohort training and skills development networking and collaboration opportunities access to cutting edge facilities within the Henry Royce Institute, the UK’s
-
that you apply early as the advert may be removed before the deadline. This PhD project aims to develop a virtual tabletting laboratory by creating computational models that capture the multiscale mechanics
-
track record of peer-reviewed publications may be considered for nomination to competitive scholarship schemes at the University of Manchester. This PhD project focuses on the development of advanced
-
control performance and efficiency. This PhD project focuses on data-driven analysis of confined liquids structure, informed by total neutron scattering. The emphasis is on developing new analysis
-
its frontier by integrating mechanistic artificial intelligence with robotic additive manufacturing systems to enable intelligent metal processing. The research will develop physics-informed and data
-
start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. This project focuses on developing advanced simulation techniques to optimise
-
addresses the "calibration problem" in particulate continuum models and particle simulations. Specifically, it focuses on developing robust methodologies for selecting and parameterising contact models, a
-
performance. This PhD project aims to develop a data-driven framework for graphene aerogel design by integrating structured experimental Design of Experiments (DoE) with machine learning (ML). The student will
-
this, empirical rules have been developed. However, a fundamental understanding of the process is still lacking. Furthermore, current standard tests do not adequately capture the phenomena, and thus industry is
-
, stiffness loss, damage evolution, and transient creep interact under coupled loading. The project will develop temperature-dependent constitutive models informed by numerical simulation. Machine learning