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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
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materials. This will be done in collaboration with Prof. Dominik Bucher at the Technical University of Munich, and you will be spending 2-6 months in his laboratory. Responsibilities and qualifications
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hydrodynamics for novel marine vehicles, including large ships and small AUVs and offshore renewable energy systems including offshore wind. You are expected to perform advanced computational fluid dynamics