39 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at Technical University of Munich
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hardware platform • Experience working with Matlab, C++, Python or similar • Goal-oriented, independent and structured work style Our offer • Research on current topics in an inspiring international working
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Chair of Materials Engineering of Additive Manufacturing at the Technical University of Munich teaches and researches in the promising field of additive manufacturing of metallic structures. The main
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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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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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of novel catalysts by electrochemical flow cell measurements that will be coupled to on-line analytics (c.f. https://www.nature.com/articles/s41563-019-0555-5). Specifically, an in-house designed flow cell
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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. Your
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self-administration and the structural tasks of the institute. You will be actively supporting our EV Powertrain team, which focuses on research related to high-voltage batteries for electric vehicles
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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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 E13) with the possibility
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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim at supporting computational thinking and computational problem-solving in the Earth sciences