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analytical and numerical methods for the investigation of novel quantum magnetic states of matter in frustrated spin systems. Methods to be applied include, e.g., field theory approaches, exact diagonalization
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of precursors in gram scale batches for thin film deposition of functional nanostructured materials Characterizing precursors via SC-XRD, NMR, FTIR, Thermal Analysis (TG-DTA) and other analytical methods Your
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control using learned and analytical models Physics-informed machine learning for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic
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. The 3RTG program provides a unique opportunity to: • Conduct research at the intersection of infection biology, animal welfare, and digital analytics • Develop and apply innovative technologies
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | 3 days ago
of the ACR department. Your profile The ACR department is interested in many aspects of gravitational-wave astronomy, including analytical modeling of gravitational dynamics and radiation (effective field
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Hands-on experience in processing thin films and solar cells in the topic of perovskite technology Excellent analytical skills Excellent communication and organizational skills Enthusiasm about solar
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. Access to world-class laboratory and analytical infrastructure. Modern and predominantly electronic workflows. Attractive and individualized training opportunities, e.g., through the Planck Academy
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approaches and will integrate novel hardware (including electrode arrays, microdevices, analytical systems) into automated robotic pipelines You will also apply machine learning-based analyses to imaging and
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students and technicians Maintain accurate documentation of protocols and instrument logs; liaise with service and facility management Your profile: PhD (or equivalent) in analytical/biological chemistry
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data Strong analytical, problem-solving and communication skills Ability to work successfully both independently in a multidisciplinary team of biologists, physicists, and computer scientists Excellent