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algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers and industry Duties The project aims to establish a mechanistic
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characterization of carbon materials or biomass valorization Knowledge of sodium- or lithium-ion batteries Experience with characterization tools such as total X-ray scattering and pair distribution function (PDF