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impact. You will be part of the Algorithmics Group in the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science. You will work in a dynamic and
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/ai4se/ We are looking for candidates with the following criteria: A Masters degree in a relevant discipline (such as computer science, software engineering, mathematics, or electrical engineering
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of PNT, distributed inference, control and learning. You should have: A Masters degree in Electrical Engineering, Systems & Control, Engineering Physics, Applied Mathematics, or any field related
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psychology. Many mathematical challenges arise from such systems. When working in the context of an application, the foremost challenge is model design and implementation. Here, numerical challenges arise
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structures in waves. Familiarity with fiber-reinforced composite materials and structures. Good mathematical skills and experience in numercial methods for structures and/or fluids. Good programming skills
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). As a suitable candidate, you may come from a range of backgrounds including, but not limited to, Physics, Atmospheric Science and Geoscience, Computational Science and Applied Mathematics. You should
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Sustainable Energy (ESE) Department, which is part of the Electrical Engineering, Mathematics,and Computer Science (EEMCS) Faculty. We are an innovation-driven, multidisciplinary team of early-stage and senior
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science, modelling and algorithms. Relevant mathematical frameworks include simulation modelling, optimization theory, co-simulation, multi-scale modelling, complex system theory, control theory, operations research
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We are seeking for a highly-skilled and self-motivated candidate with a strong mathematical background to do a Ph.D. on the fundamental aspects of graph machine learning with applications
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a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration. Challenge. Change. Impact! The Faculty of Electrical Engineering, Mathematics