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Field
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solution to support such a demand by getting inspired by the brain’s powerful and energy-efficient processing capabilities. MINDnet aims at addressing the challenge through a holistic optimization - from
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collaboration – for instance, in numerous Collaborative Research Centres (also known as CRC or sometimes CRC/TRR) and in application-oriented research assignments. The University of Stuttgart sets up a close
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miniaturisation into a hand-held device relies on this deep understanding of the physical principles, presenting an optimal starting point for this project. A novel integrated maser device has great potential
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and validated numerical models, to enable lightweight, reliable, cost-efficient, and sustainable novel design concepts. The PhD will also explore additively manufactured (AM) concepts with strong
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-dimensional plasmonic metasurfaces. The goal is to disentangle hot-carrier and thermal contributions and optimize metasurface designs for site-selective hot-carrier generation with minimal heating. The work
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incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies
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Profile Essential Qualifications Master’s degree (or equivalent) in Mechanical/Civil/Computational Engineering, or related. Strong background in numerical methods in engineering, computational mechanics
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waves Phase transitions in the early Universe Numerical quantum and classical field theory Quantum and effective field theory Generalised theories of gravity In the recent EVALNAT evaluation of Norwegian
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We are looking for a PhD student in Mineral Processing. As a PhD student, you will be part of an established international research group to work on a new research project, the optimization
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to evaluate the progress of the doctoral research project. Excellent Conditions Our aim is to create an optimal research environment for doctoral researchers and to provide you with every possibility