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computationally hard problems are found in optimization, machine learning, quantum chemistry of molecules, materials science, etc. Having contributed to pioneering research in the field of superconducting quantum
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qubits and to apply it to real computational problems that cannot be efficiently solved on a conventional computer. Such computationally hard problems are found in optimization, machine learning, quantum
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focus primarily on marine and plant-based food systems for which we develop tools and processes to promote high food quality, minimize losses throughout the value chain and allow nutrient recovery from
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technology to molecular and data- driven nutrition (Precision Nutrition). In Food Science, we focus primarily on marine and plant-based food systems for which we develop tools and processes to promote high
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to obtain versatile and uniform lignin building blocks; more details can be found in this paper (https://doi.org/10.1039/D1GC01033F ). This project will be performed in a highly collaborative set-up within