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, DNP, Prodigy and He-Cryo units), ensuring optimal performance and reliability. Method development: Develop hardware solutions for specialized NMR applications incl. (micro-)control units, sample
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, mathematical finance, or optimization and is capable of actively contributing to research projects in these fields. The contract start date is flexible, beginning as early as March 1, 2026. The employment
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, we are seeking a university assistant to develop advanced machine learning methods for improving the simulation and optimization of distributed systems, for instance by specializing neural ODEs and
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that deliver optimal light absorption, catalytic activity, and energy transport. Molecular simulation methods and quantum theoretical calculations in principle can address this but have hitherto struggled with
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the simulation and optimization of distributed systems, for instance by specializing neural ODEs and their training routines. This research will address challenges driven by the energy transition, which is
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that deliver optimal light absorption, catalytic activity, and energy transport. Molecular simulation methods and quantum theoretical calculations in principle can address this but have hitherto struggled with
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(400–700 MHz, solution- and solid-state NMR, EPR, Prodigy and He-Cryo units), ensuring optimal performance and reliability. Method development: Develop and optimize pulse programs and parameter sets
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, develop, and troubleshoot high-end NMR spectrometers (400–700 MHz, solution- and solid-state NMR, EPR, Prodigy and He-Cryo units), ensuring optimal performance and reliability. Method development: Develop
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Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally, the position will be associated with the Research Network