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“Commended Paper Award” of the IFAC MIM conference. Prof. Otto actively engages in academic governance, serving as an editorial board member of leading scientific journals as well as a program committee member
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
. Join a Leading Research Program in Childhood Immune Dysregulation The newly established Clinic for Pediatric Immunology and Rheumatology at the University Hospital of Bonn, led by the Director, Prof
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
funding program starting January 1, 2026. The workplace and employment will be at the Center for Media, Communication and Information Research (ZeMKI) in the research lab "Media & Education" led by Prof. Dr
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seeking a highly motivated postdoctoral scientist to carry out a collaborative research project at the intersection of computational biology and systems virology. Our laboratory takes a systems biology
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algorithms for computing equilibria. Positions Available We invite applications for Doctoral Researchers (Ph.D Candidates) and Postdoctoral Researchers These full-time positions (100%) are initially offered
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Postdoctoral Positions in Applied and Numerical Analysis Technical University of Munich (TUM) Chair of Applied and Numerical Analysis – Prof. Massimo Fornasier The Chair of Applied and Numerical Analysis
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the group of Prof. Dr. Barbara Wohlmuth is a project-independent research position without teaching obligations. It offers the opportunity to pursue project-independent research in one of the group’s numerous
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] Subject Area: Representation Theory Appl Deadline: 2025/07/31 11:59PM (posted 2025/07/01) Position Description: 2025/09/30 11:59PM Position Description The TUM School of Computation, Information and Technology
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that algorithmic parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems