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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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regression, generative models, and Bayesian optimization. You will also carry out electronic structure theory (e.g. density-functional or Green’s function theory) calculations to generate data for machine
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Researcher (m/f/d) in the topic “Learning by Printing” associated with AI applied to Additive Manufacturing in Construction. The candidate has the opportunity to pursue a doctoral degree (Ph.D.). Remuneration
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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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skills in: Proven ability to identify and solve problems through a proactive, systematic approach Ability to work in a team as well as independently Mechanical design as well as analysis of structural and
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of the immune system. They recognize with their receptor (TCR) target structures derived from pathogens, tumors and other exposed or self-derived antigens with high specificity. The overall and intraindividual
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, life-cycle analysis, and demonstrator construction of tandem photoanode-photocathode systems based on thin-film semiconductors coupled with transparent catalyst and protection layers. An important focus
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development. Soft skills: analytical thinking, structured and organized work, high intrinsic motivation. For E14: leadership experience (supervising PhD students or Master students). How to apply? Send your
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cancer - Preclinical structural/metabolic magnetic resonance imaging (MRI) with hyperpolarized 13C-substances, treatment studies, computational analysis of multimodal imaging data and corresponding
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from a university with a focus on aerospace, physics, or related fields • Very good and fundamental knowledge in the areas of theoretical fluid mechanics and structural mechanics, as well as aero-thermal