Sort by
Refine Your Search
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
between advanced sensing and analysis, enabling fast, reliable, and quantitative damage assessment of impacted composites. This project lies at the intersection of composite materials engineering, impact
-
We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
-
metascintillator prototypes towards clinical application. The research will combine experimental surface engineering, advanced materials characterisation (SEM, XRD, spectroscopy), and performance testing alongside
-
Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
-
Engineering, Faculty of Engineering and Applied Sciences, Cranfield University, in the area of performance simulation, analysis, and optimization of supercritical CO2 power generation systems. Cranfield has
-
such as graph-based approaches and network analytics to predict how blue network dynamics, fragmentation and surrounding land use interact to shape ecosystem functioning and human wellbeing outcomes
-
to develop cutting-edge quantitative and applied environmental skills with real-world impact. It is a fully funded NERC CENTA PhD Studentship for 3.5 years with CASE support from BASF. Successful home-fees
-
be developing advanced spatial models such as graph-based approaches and network analytics to predict how blue network dynamics, fragmentation and surrounding land use interact to shape ecosystem
-
to implement use of multi-scale composites which can offer the significant advantages for the composites products used in their industries. The use of such multi-scale composites for aircraft components will be
-
university fees, and a research training grant. The doctoral researcher will gain cutting-edge skills in AI, ecology, and environmental data analysis within a collaborative, interdisciplinary environment at