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of internationally visible, foundational research in AI-driven semantic structure extraction, automated reasoning-flow modeling, and adaptive content generation. The research focuses on methods for analyzing 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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on the interplay of liquid and solid components and energy in biological materials and how properties of these materials emerge from their structure. Your tasks In this experimental project, we will investigate how
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alloys. The project is a 3-years funded DFG position. Central to this project is the usage of coherent synchrotron scattering to track transport and structural dynamics in metallic glass. The objective is
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to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from
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Your Job: In the CrowdING project, you will analyze experimental data from large crowds and develop quantitative measures to describe their spatial structure. To do this, you will use and expand
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Description For our location in Hamburg we are seeking: PhD Student in Molecular and Structural Microbiology – Microbiome Science Remuneration Group 13 | Limited: 3 years | Starting date: earliest
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to drive the research forward. The network fellows will design and develop robust dispersive components based on sub-wavelength gratings waveguide structures to produce gratings for both intra-cavity and
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an optimum structure on small scales from the micrometer to the nanometer scale. The investigated materials and systems play an essential role in sustainable technologies like water- and CO2-electrolyzers, as
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supports all early-stage researchers across Heidelberg University, either pursuing an individual PhD or a structured PhD in the context of a doctoral programme. It is committed to excellence in training and