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hierarchically organised samples. To achieve this, we need to improve our understanding of the physical image formation and data recovery processes, among other topics. The advertised positions will focus
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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evaluation of high-performance light microscopy experiments coordinating the smooth operation of the facilities, including instructing users in the operation of the imaging and biophysics facilities
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) on the generated image datasets. Conducting experiments to assess the performance of different models and encoding techniques. What you bring to the table Enrolled Student in Engineering, Mathematics
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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engineering, and quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands
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Requirements: university and PhD degree in physics, biology, engineering, or a related field strong background in quantitative imaging and analysis; prior experience with single-molecule imaging and/or
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processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment, materials, and chemistry and process engineering. We
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Description The Cluster of Excellence “CUI: Advanced Imaging of Matter”, funded by the German Federal and State Governments, combines projects in physics, chemistry, and molecular biology at