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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 5 hours ago
pathology, the mechanisms that initiate and maintain sympathetic overactivity remain incompletely understood. Using advanced mouse and rat models, this project aims to dissect the molecular and cellular
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of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and artificial intelligence methods. Interested? Please
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transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies, AI-enhanced simulations, and computational workflows to explore biological
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of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and artificial intelligence methods. Interested? Please
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structure with assembly and optical properties. Your role will be to tune the molecular structure of the ligands and change ligand shell structure. Using advanced scattering and microscopy, you will study the
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the formation of double-strand breaks, copy-number alterations, and other structural genome changes. Our group combines cutting-edge genome biology approaches with quantitative, multi-omics analyses to uncover
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
Marie Skłodowska-Curie (MSCA) doctoral network led by Prof. Cecilia Persson, Uppsala University. Print4Life – Advanced Research Training for Additive Manufacturing of the Biomaterials and Tissues
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-scale modelling, machine learning) High resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental
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through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Automate the design and layouts using Skill programming Develop behavioural models for circuit verification Contribute
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies