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segregation, interface-related energy losses, and insufficient process reproducibility. Addressing these challenges requires a workflow that connects rapid materials and process exploration with rigorous device
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | about 20 hours ago
supervised by Prof. Dr. Serena DeBeer and Dr. Olaf Rüdiger. Your tasks The successful candidate will carry out experimental research aimed at understanding electrocatalytic heterogeneous materials in-situ and
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07.08.2026, Academic staff The professorship of Digital Structures with Mineral Materials is looking for an enthusiastic doctoral (PhD) candidate for a project on reinforcement of 3D printed
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PhD Student (f/m/d) for the Investigation of Quantum Magnets Reference No.: QM 2026/3 The Institute for Quantum Phenomena in Novel Materials conducts internationally leading research in quantum and
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focus on computational material science (both at the macroscale and atomic scale), biomedical engineering/ biomechanics, and process engineering. However, also applications in environmental modeling (in
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deposition processes for transition-metal-based electrocatalysts. Investigate the activity, stability, and selectivity of the prepared materials for the oxygen evolution reaction (OER), hydrogen
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BAM Bundesanstalt für Materialforschung und -prüfung | Berlin, Berlin | Germany | about 2 months ago
Materialforschung und -prüfung (BAM) is a materials research organization in Germany. Our mission is to ensure safety in technology and chemistry. We perform research and testing in materials science, materials
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on the ultrafast response of dielectric materials driven by intense laser fields. The central goal is to understand how strong laser excitation induces ionization, plasma formation, nonlinear optical effects, and
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position - SoCool Project At the Institute of Materials and Devices - Materials Synthesis and Manufacturing Processes (IMD-2
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning