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Field
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industrial partner, this project aims to develop a novel modelling and analysis approach to address the mathematical and technical challenges of the fluid-structure interaction (FSI) mechanisms globally
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mathematics leading to computationally fast methods State-of-X (where X is charge, health and/or function) estimation at the pack level. This requires developing computationally efficient algorithms for state
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. Qualifications To qualify for a PhD student position, you must have a master’s degree, or equivalent in signal processing, wireless communications, or mathematics. The research will focus on the signals in
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Your competencies Prospective applicants to this PhD proposal should have the following qualifications: MSc degree in electrical engineering, communications engineering, mathematical engineering
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | 2 months ago
Dynamics Research Field Physics » Optics Physics » Quantum mechanics Physics » Solid state physics Physics » Mathematical physics Physics » Computational physics Chemistry » Physical chemistry Chemistry
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includes both formalization and mathematical reasoning on the one hand, and implementation for the purpose of experiments and demonstration on the other hand. Admission requirements The general admission
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To qualify for a PhD student position, you must have a master’s degree, or equivalent in signal processing, wireless communications, or mathematics. The research will focus on the signals in the physical layer
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the field Requirements: MSc in Physics, Mathematical/Theoretical Biology, or Chemical Engineering Very good written and spoken English skills Curiosity about the mechanisms underlying life and disease Self
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structured training and supervision of more than 1,500 doctoral candidates in mathematics, natural and life sciences. Working on research projects towards their doctorate, the students are supported in
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Job Description Generative AI (GenAI) is changing the ways writing, learning, and education unfold within science, technology, engineering, and mathematics (STEM). On one hand, GenAI challenges