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Field
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-free double perovskites Your Profile: Master`s degree in theoretical or computational physics, chemistry, materials science or similar fields Familiarity with atomistic simulations, high-performance
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Degree or equivalent Skills/Qualifications • Above-average Master's degree (M.Sc.) in chemistry or comparable subject • Experience in inorganic synthetic chemistry, material characterisation and (photo
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light at the quantum limit, and on the other hand to apply this knowledge in order to develop novel spectroscopic tools for medicine, biology and industrial material characterisation. The advertised PhD
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journals Writing project proposals and acquiring new third-party funded projects Your Profile Completed master's degree in materials science, chemistry, physics, engineering or a related field In-depth
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Berlin, and the Max Planck Institute in Hamburg. Our work combines physics, chemistry, and materials science – pushing the frontiers of quantum materials research. The overarching goal of the Collaborative
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Chemistry, Physics, or Materials Science Strong interest in interdisciplinary, experimental research Prior knowledge in heterogeneous catalysis, CO₂ activation, solid-state chemistry/physics, and/or in situ
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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: The PhD project is methodologically independent, with
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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: A completed university degree (Master or equivalent) in computer science, data science, applied mathematics, physics, materials science, or a related field Prior experience in computer vision, deep
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resource-efficiency requirements. This collaborative doctoral project brings together the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy