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development of knowledge graph techniques to integrate and analyze the data generated by simulations, experiments, and machine learning methods. The research tasks include: Investigating suitable
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24.05.2024, Wissenschaftliches Personal The chair of Engineering Resilient Cognitive Systems of the School of Computation, Information and Technology of the Technical University of Munich in
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disciplines. You think analytically, work solution orientated and voluntarily in interna-tional and interdisciplinary teams. You show creative thinking and commitment. Willingly, you bring your knowledge and
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economics or related disciplines • Knowledge of quantitative approaches and experimental research • Strong motivation to publish in leading international peer-reviewed journals • Fluency in written and spoken
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of human health, biodiversity, nature and the build environment • Proactivity, creativity and excellent communication skills • Organized and structured working style • Good knowledge of project management
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Machine Learning and Artificial Intelligence. Strong programming skills (Python) Good knowledge of AI frameworks like TensorFlow, PyTorch, Keras Good to have: Scientific publications Familiarization with ML
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photoanode-photocathode systems for photoelectrochemical solar fuels synthesis. CO2 UPLED is committed to a knowledge-based approach to interface design, aiming to strategically integrate novel thin-film
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) - strong background in molecular simulations and/or machine learning - proficiency in programming (especially Python) - fluent in spoken and written English (knowledge of German is beneficial but not
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training in a related field (management, business administration, or international development). - Proficiency in financial bookkeeping and knowledge of SAP is considered an advantage. - Strong
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motivated and work in project teams, be familiar with recombinant production and purification of (membrane-) proteins in E. coli. Knowledge in biophysical techniques for the characterization of (membrane