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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | 12 days ago
Job Offer from October 13, 2025 The International Max Planck Research School for Chemistry and Physics of Quantum Materials is a joint PhD program between the Max Planck Institute for Chemical
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– 2025/MO 3 Commencement date: March 1st, 2026 Work location: Geesthacht Application deadline: December 31st, 2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study
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dynamical imaging in all areas of science, covering physics, chemistry and biology. 29 Interdisciplinary doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program
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Infrastructure? No Offer Description Area of research: Promotion Job description: Your Job: Quantum computers will play a crucial role in the development and optimization of battery materials in the future. In
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Your Job: Quantum computers will play a crucial role in the development and optimization of battery materials in the future. In this project, you will develop innovative quantum algorithms
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– 2025/MO 5 Commencement date: March 1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU MSCA doctoral (PhD) position in Materials Engineering with focus
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doctoral PhD projects in the fields of Ultrafast Science and Quantum Materials Research The program offers exciting research opportunities at ultra-intense electron and X-ray sources to directly observe
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | 18 days ago
Science and Quantum Materials Research The program offers exciting research opportunities at ultra-intense electron and X-ray sources to directly observe atomic motions during primary events. The use
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | 18 days ago
include the theoretical and experimental aspects of quantum materials and atomically resolved dynamics, fundamental light-matter interaction, accelerator-based light sources, coherent controlled molecular
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elements distribution, crystallographic texture), mechanical properties (hardness, yield and tensile strength) and corrosion profile (rate and localization). This work focuses on machine learning assisted