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Field
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applications in both conventional and renewable offshore energy. Objectives To reduce computational time during the training process, a linear solution based on potential flow theory is used as the training
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International PhD Programme (EIPP) offers comprehensive, interdisciplinary training, striking a careful balance between theory and practice, close mentoring and creative freedom, collaborative teamwork and
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standard simulation methods. This PhD topic falls within the area of computational materials science and will involve the use of established methods such as density functional theory and molecular dynamics
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of the defining challenges of the coming decade, and it is exactly where this PhD sits. At TU/e you will join the Information and Communication Theory Lab, a group with a long track record in classical coding and
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carries out research, undergraduate and postgraduate education within materials physics and materials chemistry. The division combines theory and modelling, materials synthesis, characterization, and
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these psychological constructs into formal computational rules suitable for agent-based modelling. The PhD student will ensure that formalisations remain faithful to the underlying psychological theory—a translational
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systems, but the field is broad and is related to many other areas of mathematics, including measure theory, number theory and algebraic and complex geometry. As a PhD student in this project, you will
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analysis and extreme value theory, as part of the NWO-funded project “Seeing beyond the study duration: extreme value theory for long term survival and cure chances”. This project will develop statistical
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mixture of theory and practice. The selected students will be part of the Department of Computing Science at Umeå University, as well as the WASP graduate school. Possible research directions may be
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) into reliable and efficient decisions. The work spans theory to lightweight on-hardware prototypes, with publications targeted at leading IEEE venues in communications and signal processing, and relevant AI