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from a technical and scientific perspective. The Ph.D. candidate will develop methods for uncovering DNS infrastructure dependencies at scale, relying on active measurements and graph-based analysis
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materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency
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to generate the necessary knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel transitions and requires an interest in both theory development and engagement with
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experts and industrial collaborators, contributing directly to both theory and practice. Your research will deliver frameworks that help organizations in the technical industry evaluate the economic balance
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an interest in both theory development and engagement with practice. The PhD position is part of the larger AMBITIONS project involving TU Delft, Utrecht University, and Avans Hogeschool, working together
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interdisciplinary and qualitative empirical research and a sense of urgency for turning theory into practice and practice into theory in close collaboration with the research team and their partners. Information and
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in long-time simulations. The research combines fundamental mathematical theory with applications in areas such as plasma physics, molecular dynamics, and medical physics. In particular, the work