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Field
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, scientific machine learning (ML), wind energy, and advanced optimization? Join our team to develop cutting-edge solutions for aerodynamic design optimization of wind energy systems in complex urban
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Skills: Excellent communication skills, both spoken and written, in English. The ability to convey complex technical information effectively. Team Collaboration: Enthusiastic about working in a
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proven ability to manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information Benefits A
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program) and a symbolic solver computing the solution. Another example is the generation of surrogate model architectures for complex industrial systems: the generative component proposes models based
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publications) and/or research reports for policy or practice. A proactive and resourceful mindset, with the ability to work independently as well as collaboratively in complex projects. Fluency in English
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are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational, and
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of materials and processes. By developing and applying data-driven models, The MI team develops strategies for the efficient exploration of complex chemical and phenomena across scales.The research integrates
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diverse work environment with an open culture, where you can be yourself and we pay attention to each other and to the world around us. Make the most of our bicycle budget, or join networks such as Young
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working with dr.Rudy Helmons (dredging, marine minerals) and dr. Austin Kana (design methodology, complex systems), where you will work on the development of an assessment framework to identify Best
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex