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for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs The opportunity to attend national and international conferences Optimal
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: https://www.fz-juelich.de/en/judocs The opportunity to attend national and international conferences Optimal conditions for work-life balance, including a family-friendly corporate policy, flexible
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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management of factory operations. Based on many years of expertise in robotics, operational optimization and control systems, the Automation Technology division is opening up new fields of application
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Your Job: Development of a physical solid-state cathode model and simulation of cathode performance Mathematical optimization of the model parameters using laboratory measurements Preparation and
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scientists. We seek to appoint an expert in the research area of Machine Learning for Sustainable Processes and Materials with a focus on data-driven methods for modeling, analyzing, and optimizing complex
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uptake, a relationship that dates back 450 million years and remains vital for major crops. Yet, these symbioses are not fully optimized for today’s intensive agriculture. This project aims to uncover
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of error mitigation and error correction primitives. Thereby, the applications of quantum computing that this group is working on is diverse, ranging from various machine learning methods over optimization
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disabilities, we work together to find solutions that optimally promote their abilities. The same applies if they do not meet all profile requirements due to a disability. With its focus on key technologies