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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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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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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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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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, 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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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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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
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of matter are constantly in motion, microscopic still images are often not sufficient on their own. To trace how functionalities of quantum materials or biochemical reactions emerge from microscopic dynamics
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated PhD student (f/m/x) to drive the development of a novel quantum enhanced microscope. The Institute