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areas of energy, infrastructure, environment, materials, and chemistry and process engineering. The project aims to develop a digital twin (DT) for predicting and managing corrosion and microbially
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sciences provides data management and AI based Image analysis, an internal simulations group working on quantitative models to reproduce and predict experimental data, and an internal experiments group (You
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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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). These collaborations enable practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital
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cutting-edge technologies — from single-cell multi-omics and deep learning to live-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and
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for physical behavior prediction and manipulation strategy adaptation Real-world robotic systems, including dual-arm manipulators and soft robotic grippers The position is part of broader strategic efforts
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | about 1 month ago
-cell imaging and stem-cell–based organoid systems — to predict, observe, and manipulate epigenetic processes. Our lab and institute host an international team of researchers from more than 15 countries
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) to the data distributions at hand and evaluation of their predictive performance Comparision to alternative approaches applicable in the small-sample-size regime such as few-shot learning, meta-learning
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involve the integration of: Advanced motion planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and
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practically relevant and breakthrough results. This team goal requires a quantitative model describing and predicting sperm motility under various conditions. You will develop the digital twin of sperm motility