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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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, medical analysis and treatment, material processing, etc. You will be given the opportunity to work in one of the world-leading groups in the area and combine device characterization with simulations
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- Statistical learning and safe reininforcement learning - Simulation-based analysis - Explainability methods for AI/ML-based systems - Specification formalisms for learning-enabled systems We encourage
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postdoctoral scientists to work on building the next generation of quantum processors based on superconducting circuits. To achieve this ambitiuous goal we have a variety of projects related to: Simulation
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simulation work Interest in interdisciplinary collaboration and effective communication skills Motivation, curiosity, and a strong desire to further develop research, communication, and project management
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influence of microstructure. The modelling will encompass methods for representing microstructures in simulations, crystal plasticity, homogenisation techniques, FEM, and parameter identification based
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based on superconducting circuits. To achieve this ambitiuous goal we have a variety of projects related to: Simulation, design and characterization of quantum processors Development and optimization
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and communicating research results verbally and in writing. The main tasks are to develop FSI algorithms for high-fidelity simulations, and conduct in-depth analysis to address aero-/hydro-elastic
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. This process will focus on controlling the metal content, metal distribution, and microstructure of the pellets to better simulate real-world conditions. Spent nuclear fuel contains a complex mixture of chemical