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particular the development of generative AI technologies such as diffusion models, flow matching, generative transformers, or related architectures. The position is highly methodological and focuses
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media, reagents, and stock solutions for cell-based and in vitro experiments, ensuring consistency and accurate documentation. Support established experimental workflows and contribute to the development
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and develops therapeutic strategies for these diseases. A major focus is the development of cell-type-targeted mitochondrial transfer therapies. To accelerate this work, we are establishing genome-wide
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. The research project focuses on the development of solid electrode composites, so-called boosters, for next-generation redox-targeted flow batteries. In these systems, soluble redox mediators dissolved in
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outputs. A major focus of the position is the development of AI-based reasoning strategies for oncology, including tool-augmented inference, multi-agent or compound model workflows, process supervision
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renowned multidisciplinary institution The opportunity to contribute to exciting, varied, and high-impact projects Attractive working conditions Opportunities for continuing professional development
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the interface of research, technology development and practical application. In its first phase, the GeoLab is focusing on few selected high-impact application areas where Earth observation, geodata and AI-based
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therefore offers a unique opportunity to gain expertise across the entire translational pipeline – from mechanistic discovery to cellular therapy development and clinical implementation. Your responsibilities
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, OpenCV, or vector similarity search is a plus. Across both profiles, experience with Linux and Git is essential, and experience with web interface and data visualization development to present results in
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experimental approaches. The position brings together scientific understanding and practical facility work. Your activities will range from process development and technical troubleshooting to user training