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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
Job Code: SC 07/25 Job Offer from June 04, 2025 The Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig is a leading international research institute that uses various scientific
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The Department Signatorics at the Fraunhofer Institute for Optronics, System Technologies and Image Exploitation (IOSB) in Ettlingen is offering a full-time position on the subject of adaptive
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for structural biology, imaging, and mass spectrometry. The successful candidate is expected to secure third-party funding, contribute to grant initiatives (e.g. Collaborative Research Centres, Research
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environmental adaptation or antibiotic research. The appointee will have the opportunity to use the faculty`s core facilities for structural biology, imaging, and mass spectrometry. The successful candidate is
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to real-time data acquisition during production, consulting, and prototype manufacturing. The employees conduct research in many innovative topics, such as artificial intelligence, data-based quality
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knowledge-driven reconstruction of floor plans using multiple image data sources” Research and development into knowledge-driven systems and their integration into generative AI Providing scientific
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students and postdocs in basic data analysis pipeline implementation; to explore pipelines for analyzing high-content image analysis. Genomics approaches used in our laboratory include, but are not limited
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used, including cell culture methods, Next-Generation Sequencing (NGS), Omics analyses, biochemical assays, and microscopic imaging. The project will be conducted in close collaboration with Dr
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. Oversee preclinical platforms (intravital microscopy and advanced tissue imaging, comparative biology, heart and vessel imaging, tissue perfusion, haemodynamics). Build partnerships & resources: foster
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and 4D reconstruction in combination with Gaussian splatting Synthesis of new, photorealistic images with object manipulation for dataset generation using state-of-the-art view synthesis methods, based