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of Denmark is seeking candidate for one PhD position to work on corrosion failure mechanisms of Power Electronic components under humidity and gas conditions. Environmental effects on electronics
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of these models and quickly detect any decline or unexpected behaviour. The system will be designed to recognise when it encounters unfamiliar conditions—whether these involve unusual appearances, shapes
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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
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cardiovascular image analysis, but they are limited by their dependence on large, expert-annotated datasets, covering all cardiac conditions. This makes them unsuitable for identifying rare or complex cases, where
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, validate, and refine high-fidelity 3D models of blood flow and vessel geometry using industry-standard CFD software. Analyze simulation results to provide actionable recommendations for design improvements
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Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
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to facilitate a rapid and efficient exchange among experimental and computational groups and Devise an approach in invertible predictive modelling that links semiconductor properties to the composition of lead
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inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
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to investigate mechanical properties under application-relevant conditions Microstructural characterization using advanced optical and electron microscopy techniques Analysis and correlation of mechanical behavior
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ You will be hosted in the Process Modelling, Automation and