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electrodes to improve the power density and energy efficiency of redox flow batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e
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Sack (principal investigator of FLOW), and collaborate with researchers such as Prof. Dr. Teresa Schuhmann, Dr. Sanne ten Oever, Dr. Inge Leunissen and Dr. Felix Duecker. Our lab culture is collaborative
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of Psychology and Neuroscience. You’ll work closely with Prof. Dr. Alexander Sack (principal investigator of FLOW), and collaborate with researchers such as Prof. Dr. Teresa Schuhmann, Dr. Sanne ten Oever, Dr
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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publications . We are currently looking for a highly motivated researcher who is interested in obtaining a PhD degree in the field of molecular immunobiology. We offer a cutting-edge research project
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of offshore wind foundations through graph-based machine learning. Our goal is to perform full-structure
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for Biomagnetism and Biosognalanalysis – ideally with you on board! The Project “Multi-channel transcranial current stimulation (mc-tCS): a novel approach to modulate smooth pursuit eye movement control in healthy
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Junior Research Group “ Probabilistic Methods for Dynamic Communication Networks“ (Head: Prof. Dr. B. Jahnel) starting as soon as possible. The position is within the Math+ project "Information Flow