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on Earth. We have computational capabilities that are designed to process millions of tasks in parallel, allowing the entire body to function under extremely variable conditions. Our organ of vision
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research institutes participating to consortium with a unique combination of expertise in solid-state NMR and materials science (UCCS), in MRI of the brain and AI-enhanced image processing (LilNCog), in NMR
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- A scarcity-driven engineering paradigm” is a newly funded Cluster of Excellence and will be established at the University of Bremen from January 1, 2026. In the Cluster, we are looking for one
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at international conferences. Development and optimization of experimental protocols: stereotactic injections, optogenetics, chemogenetics, in vivo imaging (fiber photometry, calcium imaging). • Development and
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preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 4 days 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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will develop and exploit mesoscopic, and multiscale computational models to assist medical applications of ultrasound-guided drug and gene delivery and imaging. The project focus are the encapsulated
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Plasticity and Neurorehabilitation Laboratory led by Dr. Sook-Lei Liew. These positions are funded by an NIH R01 grant focused on advancing research in neurorehabilitation, imaging analysis, and brain-computer