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Field
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filters and observers, for real-time applications. Proficiency in MATLAB and Simulink for modelling, simulation, and validation using experimental or real-world data. Strong analytical, independent research
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features, the PhD will first learn an individualised cognitive simulator that models how a person generates expressive responses under emotional, social or conversational contexts. The simulated cognition
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numerical simulations and machine learning in order to better understand and characterize active matter systems. A possible direction is to use physics-informed machine learning techniques to connect
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the position We are seeking a highly motivated PhD candidate to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software
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to investigate cascading cyber effects, cyber resilience, and advanced cyber range modelling. The research combines simulation, software development, and experimental validation in the Norwegian Cyber Range
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focus on combining simulations using spatial-genetic-demographic individual based models (e.g., using the software SLiM), machine learning approaches, and genomic data to estimate larval dispersal
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to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. Smart and Sustainable Resilient Performance-based Cementitious Composites for Adaptive Strengthening and
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EV load profiles, simulate future scenarios with PyPSA (incorporating wind variability and dynamic stability), and propose an optimal ancillary services roadmap suited to Iceland’s isolated grid
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of materials or you have a profound interest in these topics. Ideally you have experience with either COMSOL, ANSYS or another CAE simulation software. You are highly precise and detail-oriented, consistently
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering