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Field
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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reducing demand. However, demand drivers are manifold, including technology advancements, population and economic trends, and their future developments come with deep uncertainties. Infrastructure policies
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of Electrical Engineering of the Eindhoven University of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently
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of Electrical Engineering of the Eindhoven University of Technology (TU/e) is a leading research group dedicated to pushing the boundaries of knowledge in the field of physic-based computing. We are currently
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Are you passionate about the future of circular manufacturing and intelligent quality control? Join us to develop AI-powered frameworks that improve real-time decision-making in additive
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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research. Flexible study programmes and academic career opportunities in a wide variety of disciplines encourage the 33,000 students and researchers alike to develop their own individual talents. As one
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to make viable trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with