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radical polymerizations, ring-opening polymerizations) and efficient organic chemistry ligation methods in order to design functional/reactive nanostructured materials for biological, medical
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for physics and materials science applications scenarios as well as for related research data management tasks Developing LLM-driven agents that integrate domain knowledge to support structured chain-of-thought
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to apply E-mail jobportal@careerservice.kit.edu Website https://jobs.pse.kit.edu/en/jobs/168030/post-doc-materials-science-fmd Requirements Additional Information Website for additional job details https
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companies from all over the world, especially the USA, the UK, and Germany. Your Profile: - Ph.D. in chemistry, material science, engineering, physics, or a closely-related field - Knowledge in material
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
developing scalable machine learning models for applications in materials science. Your tasks include contributing to the development of the Materials Learning Algorithmssoftware package and applying machine
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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degree with subsequent PhD in Physics, Chemistry, Material Science or related disciplines Profound knowledge of the structural characterization of matter primarily with neutron and X-ray scattering