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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
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algebras, quantum affine algebras, algebraic Lie Theory, number theoretical aspects of representation theory, structure theory of Kac-Moody algebras, geometric/combinatorial representation theory, quiver
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objective of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins as well as relevant mechanisms, which allow optimizing
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partial differential equations A team-oriented, structured, and organized work approach Enthusiasm for interdisciplinary projects Optional, but helpful for certain topics: experience with Lattice-Boltzmann
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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of Interfaces, TUM) and Prof. Willi Auwärter (Molecular Engineering at Functional Interfaces, TUM). Project: We aim to use the unique optical, photophysical, electrochemical, and structural properties
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located on the new Heilbronn campus (not in Garching / Munich!) Your tasks Graphs are a fundamental data structure and are commonly used to model relationships between data points such as links between web
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of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins. Thereby, relevant mechanisms are identified, which allow optimizing
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but not limited to solid-state chemical synthesis, wet chemical-based approaches, high throughput synthesis techniques) to fabricate all-solid-state sensor structures. • Characterize the bulk and
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with MATLAB, C++, Python or similar ▪ Goal-oriented, independent and structured work style Our offer ▪ Current research topic in a challenging international working environment ▪ Full-time position (TV-L