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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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and networks worldwide to become a truly global centre of knowledge. This 4-year PhD position is embedded in the Artificial Intelligence department at the Faculty of Science and Engineering and in
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-Sklodowska-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims at the development of powerful and readily applicable workflows for data-driven development
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in closed-loop catalyst optimization workflows. This position will be part of the Marie-Sklodowska-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims
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-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
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partner universities and networks to promote international collaboration. The Faculty of Science and Engineering (FSE) is the largest faculty within the university. It offers high-quality education and
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of innovative solutions to complex engineering challenges. Proficiency in anticipating technical and schedule risks within the project, developing effective mitigation strategies, and implementing quality