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simulation methods and scientific software development. The successful candidate will contribute to research and development on: EMT simulation of future power systems. Simulation methods for converter
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. This project explores the use of laser-printed metal chalcogenides on flexible substrates to develop high-performance thermoelectric harvesters and coolers for wearable applications. In this project, the postdoc
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interpersonal phenomena. The aim of this position is to develop novel methods to study the interpersonal nature of emotions in the context of daily life using Experience Sampling Methods and/or apply such methods
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that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics
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, small-signal stability analysis, impedance- and admittance-based methods, frequency-domain characterization, grid-forming converters, multi-converter interactions, EMT-based validation and scalable
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develop methods by which we can explain the reasoning that leads to a certain decision made by combinatorial optimizer in a human-understandable way. This can range from explaining why a problem
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closely with prof. Roel Leus on advancing the state of the art in decision diagram-based methods for combinatorial optimization, including the development of new theory, algorithms, and high-impact
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between stars in binary systems shape their evolution.The postdoctoral researcher will: Develop advanced data-analysis methods to improve orbital and stellar parameters for evolved stars using Gaia DR4 data