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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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-domain transfer, and creating human-in-the-loop optimization pipelines that incorporate expert feedback—aligning with the multi-year research roadmap (WP1–WP3) . As a postdoctoral researcher, you will take
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 10 days ago
systems optimized for integrating behavior, physiology, and computational analysis, including immersive Virtual Reality (VR) laboratories developed for animal experiments, and real-time behavioral tracking
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endolysins from chloroplasts. In addition, the position involves the implementation of bioinformatic analyses for the identification of natural endolysins as well as the computational development and
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Positions Country Germany Application Deadline 31 Jan 2026 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Other EU
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: Z_NA Area of research: Scientific / postdoctoral posts Starting date: 26.01.2026
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: Institute of Materials Physics Area of research: Scientific / postdoctoral posts Starting date
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers
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), a postdoctoral fellowship and support program at KIT The Karlsruhe Institute of Technology (KIT), Germany, supports international postdocs in securing third-party funding to establish their own junior
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for mobile communications and radar systems. We are looking for motivated postdoctoral research candidates to participate in the development of signal processing algorithms for multi-antenna integrated sensing