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# Postdoctoral Researcher / AI & Scientific Software Engineer - Autonomous Live-Cell Microscopy and Laboratory Automation

- **Company:** Bmi Group
- **Location:** Baunach, Germany
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Computational Biology, Image Analysis, Linux, Python (Programming Language), Machine Learning, Object Detection, Scientific Computating, Software Engineering, Data Streaming, High Performance Computing, Pytorch, Information Technology, Free and Open-Source Software
- **Published:** September 2, 2026
- **Apply:** https://www.jobs.de/job/postdoctoral-researcher-ai-scientific-software-engineer-autonomous-live-cell-microscopy-and-1855196

## About the Role

* Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline\n
 * Proven programming expertise in Python (scientific Python, PyTorch) with solid experience in scientific computing, reproducible software development, and modern software engineering practices; familiarity with C++, Linux, and high-performance computing is an advantage\n
 * Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities\n
 * Experience in one or more of the following areas: object detection and segmentation, multi-object tracking, time-series analysis, probabilistic modeling and uncertainty quantification, real-time or streaming data processing, or multimodal learning\n
 * Strong mathematical and statistical background, combined with excellent analytical and problem-solving skills\n
 * Interest in developing AI methods at the interface of biology, robotics, and laboratory automation, with enthusiasm for collaborating closely with experimental scientists. Prior wet-lab experience is welcome but not required\n
 * Excellent communication and collaboration skills, with enthusiasm for working in an international and highly interdisciplinary research environment\n
 * A demonstrated research track record through publications, open-source software contributions, internships, thesis projects, or comparable scientific achievements\n
 * Excellent command of English; knowledge of German is an advantage but not required\n



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