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learning paradigms as well as interactive data- and model exploration with domain knowledge towards optimal performance in real-world generalization scenarios. AqQua is a large-scale collaborative research
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in your work with: A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work The Forschungszentrum Jülich is one
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positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k - 57k Euro / year + benefits). For interns, we offer a stipend to cover living expenses. Click here to learn more about our research
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Intelligent Energy Management Systems. You are passionate about applying cutting-edge information technology to solving the energy and climate crisis and would like to work in a vibrant research environment
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spoken English WE OFFER: A young and dynamic team and an exciting work environment A diversity of exciting research questions and possibilities to develop and pursue novel solution approaches Access
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of the research group ‘Crop Physiology’ is to understand the physiology of plants down to the structure and function of genes and proteins. Thereby, relevant mechanisms are identified, which allow optimizing
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reduced, maintenance of the systems could be improved, and operational costs could be optimized. To perform this exciting research, we are looking for a highly motivated student or PostDoc who has recently
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28.11.2023, Wissenschaftliches Personal The Institute of Automotive Technology is looking for a talented postdoctoral fellow in the field battery research aiming to continue his/her excellent
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of Information-Oriented Control we focus on research and teaching of control and optimization of cooperative, networked, and distributed dynamical systems. We develop novel methods and tools for the analysis and
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, computer science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since