21 solar-physics "https:" "https:" "https:" "https:" positions at Cranfield University
Sort by
Refine Your Search
-
of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the
-
insights for diagnosing and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that
-
corrosion rate involving mathematical models validated through simulation, experiments, and analysis. CSP technologies use a mirror configuration that concentrates the sun’s solar energy onto a receiver
-
grease etc. giving a rise to useful applications in Maintenance of Solar Panels, Decreasing Water Usage in Sanitation, Oxidation Protection, Anti-Icing in High Altitude Aerial Vehicles, High Temperature
-
turbines. The research will combine physics-based modelling, artificial intelligence, structural health monitoring and real-time data integration to improve asset reliability and predictive maintenance
-
) batteries for transport systems. You will combine hands-on experiments with physics-based data-driven modelling to understand how Li-S batteries perform in real applications and develop suitable battery
-
physics-based models that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation
-
to apply Website https://jobs.cranfield.ac.uk/vacancy/research-fellow-in-remote-sensing-and-ai-6… Requirements Research Field Environmental science » Other Education Level PhD or equivalent Additional
-
stated closing date should we receive sufficient numbers of applications. Therefore, we would encourage you to complete and submit your application as soon as possible. Where to apply Website https
-
on the fundamentals of ice accretion physics, the practicalities of ice protection system design, and the icing certification process. The project will integrate high-fidelity multi-physics