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At the Faculty of Engineering and Science, Department of Mathematical Sciences, one or more PhD stipends/Integrated PhD stipends in inference and modeling of Quantum transduction processes
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Do you have a background in biology and an interest in ecological modelling? And do you want to be a part of young and growing research group with lots of collaboration? If yes, we look forward
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with different control technologies, such as developing a typical grid-following type-4 wind turbine generator (WTG) simulation model, and a grid-forming type-4 WTG model without or with an energy
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. Conventional small-signal models are therefore inadequate, motivating large-signal modelling and transient stability analysis frameworks for GFM wind turbine generators under grid faults. This poses
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and accelerating simulations, one-shot design and inverse design in power electronics systems and components, Multi-physics modeling using open-source simulation environments (e.g. FastFieldSolvers
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research on architectures and methods for the real-time delivery of EO data from dense nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a
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communications, fundamental knowledge on computing architectures, and advanced programming skills (e.g., Python, C++, Matlab/Octave). Experience with simulation, emulation, and modelling tools for signal
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how combinations of genetic variants shape disease risk and how AI methods can most effectively model these patterns. Both stipends involve working with simulated data, biobank-scale genomic resources
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communications, signal processing, or related fields at master’s level is essential. This includes a thorough understanding of the fundamentals, as well as modelling, simulation, and evaluation tools such as
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power electronics. Experience with power electronic design, modelling and simulation tools, and hardware development Knowledge of digital control implementation, testing, and characterization of power