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competitive salary, aligned with German university pay scales (TV-L) and institutional regulations. Where to apply Website https://jobrxiv.org/job/ulm-university-27778-post-doc-reinforcement-learning-fo
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-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work has provided insights into the origins and functional evolution
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10.06.2026, Academic staff A post-doctoral position is available in Physics-informed Generative Modeling and Multiscale Learning. The successful candidate will work at the interface of physics-based
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approaches or ecological forecasting Ability to teach in German at BSc level (advantageous, not required) We Offer 3-year postdoctoral position (100%, TV-L 13), with possible extension subject to the
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Directions AI for Scientific Computing Neural Operators and Learning-Based Surrogates LLMs and Scientific Agents Agentic AI for Engineering Design Multimodal Scientific AI Alignment and Verification
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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trials and deep learning-based modeling of multimodal biomedical data. We are seeking two highly motivated scientists with expertise in Causal Inference / Statistics / Deep Learning / Bioinformatics
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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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independently while contributing effectively within a multidisciplinary team Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoctoral Researcher - Machine Learning for Plant Regulatory Genomics