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evaluation, but we are primarily looking for a candidate with a strong background in computer science, artificial intelligence, applied mathematics, applied physics, or a closely related field, and with a
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resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
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communication infrastructures capable of supporting future global connectivity. You will join the Embedded Systems group within TU Delft’s Faculty of Electrical Engineering, Mathematics and Computer
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and acquire those skills and able to deploy them during the course of the project. She or he has a demonstrable interest in optics and electromagnetic scattering, signal processing, and mathematics, as
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physics and building high performance imaging systems. She or he has a demonstrable interest in optics, signal processing, and mathematics or machine learning. The candidate should have an MSc degree in
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international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. Faculty of Electrical Engineering, Mathematics and Computer
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last year, are at a similar stage of their research journey. The current group has a mixed BSc/MSc background, ranging from computer science to physics, electrical engineering and mathematics. Here
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future industrial applications in the aerospace sector. Job requirements You have: A Master’s degree (or are close to completing one) in Applied Mathematics, Computer Science, Aerospace Engineering
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of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce
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section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities to collaborate with industrial partners but also