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18.09.2024, Academic staff We have several 𝐏𝐡𝐃 & 𝐏𝐨𝐬𝐭𝐃𝐨𝐜 𝐨𝐩𝐞𝐧𝐢𝐧𝐠𝐬 in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 6 days ago
. The research will be conducted in the Centre for Visual Computing of Collectives (VCC), part of the University of Konstanz and the Max Planck Institute of Animal Behavior. The VCC building is a modern, purpose
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biological data Develop clear data visualizations, reports, and written summaries to communicate results Collaborate closely with laboratory scientists to translate biological questions into computational
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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Mechanobiology, Stem Cell and Bone Marrow Niche Biology, or a related field Professional experience in cell mechanics research Professional experience with confocal microscopy and data visualization Professional
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
robust single cell-based foundation models on digital pathology images and will combine AI with our latest Deep Visual Proteomics workflow. For more information: group.szbk.u-szeged.hu/sysbiol/horvath
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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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of chromosomes and specific DNA sequences within the nucleus influences gene expression by visualizing nuclear architecture combining molecular biology, biochemistry, and super-resolution imaging methods
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such environments. We investigate machine learning approaches to infer semantic understanding of real-world scenes and the objects inside them from visual data, including images and depth/3D observations. Generating