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students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which
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to test theoretical hypotheses and identify new regularities; contribute to an interdisciplinary research environment at the interface of physics, epidemiology, and complex systems. This position offers
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you often find yourself fascinated by the multiscale complexity of real-world engineering problems? In this project you will develop advanced multiphase transport models for porous systems, bridging
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to an interdisciplinary research environment at the interface of physics, epidemiology, and complex systems. This position offers the opportunity to work on a problem where theory, data, and societal relevance meet. The
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Computing Group (MMC) in Computer Science. We share a drive to understand and optimize complex systems ranging from social, technical, to economic systems. The supervision team consists of Dr. Huijuan Wang
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of Physics at the University of Amsterdam is seeking an ambitious PhD candidate to unravel the complexity of multimineral salt crystallization and its impact on cultural heritage materials. Join Us! Despite
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that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and
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that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we
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photonic and electronic co-design for complex systems-on-chip. Ability to work in an interdisciplinary team and collaborate with industrial partners. Research-oriented mindset and motivation to develop new
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model of the non-transparent structure. Using this approach, we aim to build a microscope that can look inside very complex materials without loss of image quality. Your role is to build flexible 3-D ray