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) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
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challenges. Our core research topics include but not limited to the following topics: Interpretability and explainability of AI models in clinical settings Fairness and bias mitigation in pediatric AI
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for blockchain-based systems. Develop mathematical and computational models for simulating and analysing various economic properties of blockchain-based systems. Design and evaluate token economies and governance
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic
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We are seeking a highly motivated and talented PhD student to join our team at the Institute of Environmental Engineering at EPFL (the Swiss Federal Institute of Technology Lausanne). The selected
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information, please visit our web page: https://dbe.unibas.ch/en/research/imaging-modelling-diagnosis/magnetic-resonance-physics-methodology/ We are looking for a PhD candidate to join our research team in
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. Corman and the Institute for Transport Planning and Systems. This project investigates the mathematical, physical, technical, and organizational conditions necessary to enable higher levels of automation
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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focus. We research media use and its effects in the family context and digital media use for coping with stress. The specific PhD project has a focus on the dynamics of effects of digital media use