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Area of research: Studentische Hilfskräfte Job description: Student Assistant (f/m/x) - Machine Learning and Image Analysis 102739 Stud. Assistant 20 hrs./week Munich Partial Home Office possible
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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) department develops innovative deep learning technologies in the area of image and video analysis. The department's competencies cover the entire processing chain, from the collection and analysis of visual
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electrodes using physics-informed neural networks and related approaches Collect and process existing FIB-SEM images to digitally reconstruct and regenerate electrode microstructures using Generative
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to investigate these using methods from behavioral research, imaging, peripheral physiology or neurochemistry. Based on the understanding of these pathomechanisms, new psychotherapeutic interventions
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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Soil BON monitoring network, controlled experiments, and modelling. Your role will be pivotal in developing data infrastructure and automating data and image exchange processes. You will collaborate with
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and their combination with observational data to improve the interpretation of cloud processes Coupling of cloud simulation data with detailed radiation calculation Evaluation of simulated 3D cloud
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image
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the fundamental understanding of how small-scale processes influence large-scale climate patterns. The group is expected to fully leverage a km-scale ICON model, capable of resolving storm systems and mesoscale