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Field
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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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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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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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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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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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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 Available Technology (BAT
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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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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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insights from social sciences, ecology, and climate studies to understand complex human–nature interactions. ability to work independently while contributing positively to a collaborative research
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proactive and curious mindset, with the ability to explore complex problems independently and collaboratively. A good command of spoken and written English, as you’ll be working in an internationally diverse