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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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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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of cardiovascular imaging is desirable but not required. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and applied
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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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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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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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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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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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. Transition metal-based complexes, in particular, offer rich spin properties that can be tailored through ligand design. This project aims to explore and optimize such molecules to enhance their performance as
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of functional materials to find an optimal structure on a small scale from the micrometer to the nanometer. The materials and systems examined play an essential role in sustainable technologies such as water and