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In the ERC-funded project CASTLe (https://www.castle.unifi.it ) we aim at a fundamental understanding of chirality-induced spin selectivity (CISS) and investigate potential applications in quantum
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cellular processes to complex neuronal networks and behavior. The research group “Behavioral Neuroscience” focuses on decoding the exact mechanisms behind the negative consequences of sleep deprivation. We
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three Helmholtz centres, each with complementary expertise in microfluidics technologies, imaging, AI-supported image analysis and innovative reporter systems. The scientist will set up a microfluidics
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26654 Postdoctoral Researcher (d/f/m) Stellenanzeige merken Stellenanzeige teilen wanted of the next
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to biomedical data is a plus Experience in image processing techniques, such as segmentation, is of advantage Ability to quickly grasp new concepts and work independently on complex problems Ability to work as
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information, please visit https://www.kmk.org/zab/zeugnisbewertung.html . By submitting your application, you consent to the processing of your personal data for the purpose of the application process. Our
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molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build robust single cell-based foundation models on digital pathology images and will combine AI with our latest Deep Visual
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partner from data sciences provides data management and AI based Image analysis, an internal experimental group, and an internal simulation-sciences group (You+Supervisor+support by lab
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 days ago
learning model on observations and physical models to represent cloud processes across scales from individual turbulent eddies to cloud systems spanning hundreds of kilometers. We will use this fully data
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 days ago
model on observations and physical models to represent cloud processes across scales from individual turbulent eddies to cloud systems spanning hundreds of kilometers. We will use this fully data-driven