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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 6 hours ago
to Brian von Rueden, Head of Human Resources, via hr@mpi-cbg.de . Max Planck Institute of Molecular Cell Biology and Genetics Pfotenhauerstr. 108, 01307 Dresden, Germany http://www.mpi-cbg.de The Max Planck
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
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group focuses on developing strategies and algorithms to quantity biologic effects of particle radiation based on underlying physics, biology and physiology. Within the BMFTR funded project “BIOMICRO
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, attractive working environment work in an interdisciplinary team together with basic scientists, surgeons and clinician scientists and bioinformaticians multiple opportunities for continuing education and the
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expertise and supervision of experienced researchers from multiple institutes at Forschungszentrum Jülich. As one of Europe’s largest and most multidisciplinary research centers, Forschungszentrum Jülich
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” and “Smart Mobility” (Google Scholar), he has received multiple prestigious international awards, including the IEEE CASE Best Conference Paper Award, INFORMS QSR Best Student Paper Award, and INFORMS
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detectors (Partial) automation of detector characterization for more efficient analysis Algorithm development: Development of a correction method based on information field theory for atmospheric image
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well as their interaction and the genetic basis of therapy responses (e. g. pharmacogenetics). The professorship represents the field in research and teaching and is integrated into the ongoing research focuses of the CIMH
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: 30057201; Nature Genetics, in press) and has pioneered novel machine learning approaches for analyzing genomic data (e.g., bioRxiv 517565). The Kübler Lab is integrated into the extensive Berlin research