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. The Cluster of Excellence is committed to researching shared ideas, narratives and images. We call the practices of sharing such ideas, narratives and images "social imagining". They contribute to the creation
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the viewpoint of the social and philosophical studies of science. About the FairCFD project Over the past seven decades, Computational Fluid Dynamics (CFD) has enabled increasingly efficient industrial processes
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architectures for foundation models The work will combine methodological development with large-scale experiments, aiming for contributions at leading machine learning and computer vision venues such as NeurIPS
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for autonomous optimization and design of materials, structures and processes Multimodal scientific AI – integrating language, images, sensor data and simulations Alignment for scientific AI – scalable oversight
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imaging. Your Profile: * Master's degree in Computer Science, Electrical and Computer Engineering, Mathematics, Physics, or a related field * Strong background in mathematical and computational sciences
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
functional assays for primary human samples Few-cell proteomics for deep molecular characterization of neutrophil subsets Multicolor flow cytometry of PBMCs and immune cell populations Live-cell imaging and
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a researcher (m/f/x) ready to try new techniques and approaches and explore and tweak them until they work. The lab
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, uncertainty, missing information, and clinical signals for diagnosis, prognosis, and treatment response. The project may include patient-level embeddings from imaging, pathology, genomics, laboratory values
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of fluorescent biological samples Confident handling of Microsoft Office (excel, powerpoint etc.) and image processing programs (e.g. ImageJ, Imaris) Willingness to work with animals Willingness
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track