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is seeking a highly motivated PhD candidate to work on a fundamental research project on systems and control theory for learning in neuromorphic circuits. Neuromorphic computing is an analog, brain
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adaptive instruments can effectively support the development of the hydrogen economy rather than constrain it. Within an ongoing research project, we are developing a theory of an adaptive legal framework
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depends on complex, interconnected systems such as sustainable power grids, autonomous vehicles and human-machine collaborative systems. Ensuring that these systems operate safely, efficiently and fairly is
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applications for a PhD position in electronic-structure theory. The project focuses on the development of new theoretical frameworks for describing electronic dynamics in atoms, molecules, and materials, with
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Engineers usually want predictability. This project embraces chaos! – Excited about control theory? Then join us to build the math of chaotic sampling for greener and more secure control systems
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compositionally complex recycled steels, using density functional theory and machine-learned interatomic potentials, in close collaboration with leading academic partners and Tata Steel. Job description At TU Delft
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constrain it. Within an ongoing research project, we are developing a theory of an adaptive legal framework for the hydrogen economy. In this project, we aim to empirically test this theoretical framework in
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. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
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reparations for colonialism. You will work together with participants on co-produced multimedia products about the potential role of reparations in addressing historical grievances. In addition, you will
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Research Council (ERC) Starting Grant project “Energy-based learning of complex dynamical systems” (E-BLOCS), led by Dr. Henk van Waarde. The PhD student will actively work together with the other members