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needed to guarantee user-defined error bounds of reachable sets for nonlinear and hybrid systems. This project will exactly close this research gap: We will develop essentially new methods to ensure
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Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
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Laboratory, the medical campus Mannheim, and the Central Institute of Mental Health Mannheim. The life science and engineering campus at Heidelberg University offers a network of core technology platforms
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into the process control of the CO2 electrolysis enables autonomous operation of the system, which can differentiate between market-, system- or network-based operating modes depending on requirements. Your tasks in
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and diverse project within a nationwide research network with numerous opportunities for development, working within a dynamic and international team of scientists from various disciplines, as
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the change! We support you in your work with: Secure employment in a dynamic, international and multidisciplinary environment of scientists from different domains and software developers A creative environment
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. Prerequisites Doctoral degree with quantitative training or research experience Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software
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/or trainings for QC Proficiency in writing numerical software, preferably in C++ and Python Excellent command of written and spoken English, command of German is helpful Our Offer: We work on the very
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policy. The Institute works on an interdisciplinary basis and is highly networked both nationally and internationally. About the position We are looking for a 100% postdoctoral research associate beginning
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strategies withing current and emerging software packages and tools (Chao et al. Nat Immunol 2023, Almeida et al. Sci Immunol 2022) The successful candidate will be hosted in the Department Infection