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Condensed Matter with focus on resolving the question how material structure and composition control properties and dynamics of electronic states on ultrafast timescales, and how this paves the way for novel
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possible conditions for their scientific careers. We seek motivated graduate students interested in the broad research areas of the BGI related to studying the formation, structure, composition, and
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Your Job: Digital methods for inverse materials design are essential to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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or functions (e.g., by phages) – to optimize microbiome composition and function Improvement of our current tool for microbiome modelling Your profile Masters, Diploma or equivalent degree in Bioinformatics
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: Digital methods for inverse materials design are essential
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of experience in high-temperature microwave processes for e.g. carbonization and graphitization of polymer materials. In the field of plasma, the group has developed plasma sources and processes for surface
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LINK: TBD Research field: Biomaterials / Biomaterials Synthesis / Nanochemistry / New materials: oxides, alloys, composite, organic-inorganic hybrid / Nanoparticles / Pharmaceutical Chemistry
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Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with