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. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative algorithms Extend the superstructure to tackle AC-PF problems of different
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Advertisement for the field of study such as: Automation technology, electrical engineering, computer science, cybernetics, mechanical engineering, mathematics, mechatronics, control engineering
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11 Dec 2025 Job Information Organisation/Company Universität Siegen Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Country Germany Application Deadline
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or more of the following areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent
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areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent programming skills (e.g., Python) and
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Advertisement for the field of study such as: Automation technology, electrical engineering, computer science, cybernetics, mechatronics, control engineering, software design, software engineering
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Advertisement for the field of study such as: Automation technology, electrical engineering, computer science, cybernetics, mechanical engineering, mechatronics, control engineering, software design
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“Stability and Solvability in Deep Learning”. This project focuses on mathematically analyzing machine learning algorithms with a particular focus on questions of stability, computability, and robustness
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Welcome to the exciting world of quantum computing at the Fraunhofer Institute for Industrial Engineering IAO! Our international, multidisciplinary team of scientists is working to usher in
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technology, computer science, or a comparable field • Good knowledge of electronic hardware design and Python • Ability to work independently What you contribute • You identify the biggest factors influencing