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recently enabled realistic multiscale simulations of processes (https://mfix.netl.doe.gov/research/applications/ ) and combustion devices (https://youtu.be/XNKDs0mkym0?feature=shared ). Indeed, CFD methods
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part of the Electrical Engineering, Mathematics,and Computer Science (EEMCS) Faculty. We are an innovation-driven and multidisciplinary team of early-stage and senior professors, postdocs, PhDs, and MSc
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and driven team of academic staff, PhD students and postdocs of the Network Architectures and Services Group . We share a drive to understand the characteristics of and processes running on complex
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PhD students and postdocs. The PhD project is expected to start on 1st October 2024, and to run for a period of 4 years. The PhD candidate will have the opportunity to exchange with other partners
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professors, postdocs, PhDs, and MSc researchers with different cultural backgrounds. You will be coaching and mentoring master students. Fostering a synergetic, open-minded, and win-together culture, we
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academic staff, PhD students and postdocs of the Sequential Decision Making section. We share the ambition to be the world’s top scientists in the field of AI and machine learning, and encourage you to spar
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postdocs. Working in fields ranging from health and security to infrastructure and climate, we share a drive to improve policy-making. We foster a relaxed, collegial and collaborative atmosphere. And we will
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section of the Multi-Actor Systems department. In our team, some 60 academic staff, PhD students and postdocs work in fields ranging from health and security to infrastructure and climate. We share a drive
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students, and experienced postdocs. This open-minded, friendly, and collaborative community will provide the necessary support and guidance to develop your research project and establish yourself as a
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diverse environment of other PhD and postdoc researchers excited about making theoretical and algorithmic contributions in intelligent decision making. You will be supervised by [Dr. Anna Lukina](https