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and its research groups. Your Profile PhD in theoretical solid state physics Profound knowledge in the field of quantum magnetism Extensive experience with analytical and/or numerical methods in solid
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characterization of catalytic reaction intermediates and their transitions. Single particle cryo-EM sample preparation and data collection using state-of-the-art equipment at our core facility, density determination
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 1 month ago
to bring a world-class soft X-ray source to full operation and use it to tackle fundamental questions in correlated electron systems. Requirements Successfully completed PhD degree in physics or a related
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 2 months ago
and spectroscopic characterization of catalytic reaction intermediates and their transitions. Single particle cryo-EM sample preparation and data collection using state-of-the-art equipment at our core
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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analytical models Physics-informed machine learning for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in
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10 Oct 2025 Job Information Organisation/Company Max Planck Institute of Colloids and Interfaces Department Colloid Chemistry Research Field Chemistry » Other Researcher Profile Recognised
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research group “Computational Integrative Biodiversity” (CIB) combines modern computational modeling with biodiversity theory as well as geohistorical and climatological data. We investigate how biodiversity
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information at: http://www.ifw-dresden.de The Institute for Materials Chemistry (Director: Prof. Dr. Anjana Devi) at the IFW Dresden, Germany offers a Postdoctoral position (m/f/div) on the topic
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and reality gap bridging for deformable object interaction (e.g., MuJoCo, PyBullet, NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning