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, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power
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high-efficiency perovskite solar cells and layer stacks Developing highly stable and efficient triple-junction solar cells Characterizing devices, analyzing experimental losses, and simulating single
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., NVivo) In your application, please include a supporting statement that lists all criteria and outlines your experience/skills against each. Downloading a copy of our Job Description Full details
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy
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computing. Current challenges in quantum technology adoption stem from the lack of standardized benchmarking methods and the inherent difficulty in validating quantum devices beyond classical simulation
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The overall aim of the project is to resolve the quantum trust challenge where the inherently quantum nature of these devices, being beyond classical simulation, complicates their straightforward validation
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PhD scholarship in Runtime Multimodal Multiplayer Virtual Learning Environment (VLE) - DTU Construct
for realistic haptic control and feedback, and real-time agent-based simulation for guiding optimal work performance. Following smart serious gaming approaches, novel artificial intelligence forecasts human
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: Master's degree in Information Technology or equivalent education Knowledge of systems theory, systems modelling and simulation methods Knowledge of digital twin concepts, architectures, and applications
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of Groningen, Nijmegen, Eindhoven and Tilburg). The PhD project in this vacancy contributes to the development of the above EmPowerED toolbox by developing simulation models for individual physical components
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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