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are carried out in direct collaboration with industry to a great extent. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD
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of three interlinked sub-projects: 1. Time-Series Feature Extraction 2. Deep Learning for Price Forecasting 3. Execution Timing and Portfolio Optimization You will: ● Conduct independent research under
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, enabling multi-vessel charging and scalable maritime electrification. Advanced control strategies and data-driven optimization methods will be considered to enhance the efficiency, sustainability, and
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with knowledge and interest in structural dynamics, finite element analysis, programming and numerical methods. Applicants are expected to have achieved or be about to achieve a First-class honours MEng
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construction. Information about the research environment The PhD student will join the research environment Architecture, Media, and Material Practice (AMMP) at the Department of Architecture and Civil
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quantum computing as well as experience with cryogenics, signal delivery, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply
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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system
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efficiency will be studied. In addition, the effect of the AOP on the overall water quality (physico-chemical and microbiological) will be evaluated and the potential for optimizing the AOP conditions by
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protect the structural integrity of carbon and low alloy steels. To ensure their effectiveness, the project will investigate how these barriers interact with hydrogen—studying uptake, diffusion, and
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responsibilities include: Developing and optimizing aqueous, room-temperature synthetic protocols for CeO₂ nanoparticles with tailored defect structures and dopant incorporation. Characterizing physicochemical