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communication for improving well-being. A key role is played by techniques and tools from the area of Artificial Intelligence: innovative methods such as machine learning and knowledge representation are used
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this multidisciplinary PhD project supervised by Dr Mairieli Wessel and Prof. Frits Vaandrager, you will combine insights from software engineering, human-computer interaction and machine learning by applying empirical
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and Prof. Frits Vaandrager, you will combine insights from software engineering, human-computer interaction and machine learning by applying empirical research methods such as field studies, mining
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of supramolecular, peptide-based soft materials and connect this to machine learning to navigate the peptide sequence space, and to optimise the properties of promising candidates. In this project, you will use state
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well as atomistic and quantum simulations using machine learning. We apply these methods to access otherwise inaccessible regimes of magnetism and provide explanations and predictions for state-of-the-art time
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of this PhD project is to develop, build and operate a vacuum compatible exfoliation center for the creation of heterostructures constructed from reactive 2D materials. Recently, two-dimensional (2D) materials
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will use a variety of neuroscientific approaches (behaviour and M/EEG) and analytical tools (computational modelling, machine learning) to make headway on answering this fundamental question. As a PhD
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project, you will develop an experimental platform for the high-throughput synthesis and analysis of supramolecular, peptide-based soft materials and connect this to machine learning to navigate the peptide
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length and time scales, for which existing methods fail to give an adequate description. We develop and exploit phenomenological theory as well as atomistic and quantum simulations using machine learning
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Requirements You have a Master’s degree in computer science, electrical engineering, machine learning, speech and language technology, or equivalent. You have proven expertise in one or more relevant domains