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Mathematics/ Approximation Theory to be filled by the earliest possible starting date. The Chair of Applied Mathematics, headed by Prof. Marcel Oliver, is part of the Mathematical Institute for Machine Learning
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the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent spatial and temporal dependencies in systems, such as building energy demand, district
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that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics This PhD project falls under Research Thrust RT3
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Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
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projects. Interest and ability to engage in computational and mathematical modeling is very important as well. Ideally, the successful candidate will need to bring prior knowledge of at least one of the
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Your job Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD opportunity could be
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Infrastructure? No Offer Description Are you fascinated by using mathematics to solve fundamental questions in ecology? Do you thrive on translating abstract models into biological insight? If so, this PhD
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for the new generation of lifts. The PhD candidate will design and lead the research project under the academic supervision of Prof. Claudia Fecarotti, Prof. Juseong Lee and Prof Rob Basten, and work in close
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Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance to develop
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of models, code, and validated outputs to strengthen the competitiveness of the Dutch high-tech sector. The PhD Candidate Position You will be supervised by Prof. Dr. Suzan Verberne and Dr. Niki van Stein