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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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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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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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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
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participate in the university's 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
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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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Transferability, as well as Deep Learning for Complex Structures. These novel methods will be applied to practical tasks such as predicting European water storage, quantifying permafrost thawing, sea level budget
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relevance ▪ Software: experience working with MATLAB, C++, Python or similar ▪ Goal-oriented, independent and structured work style Our offer ▪ Current research topic in a challenging international working
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sensors and apply them to novel applications. Technically, your work will involve the design and construction of optics and electronics, clean room fabrication and software development, as well as theory
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field of additive manufacturing of metallic structures. The main focus is on developing and characterizing metallic high-performance materials for/through additive technologies by means of experiments and