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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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patients with the genetic disease hereditary hemorrhagic telangiectasia. Approaches make use of spatial omics, advanced imaging techniques such as 3D deep tissue staining, microCT, and synchrotron imaging
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computer vision. Experience with multi-modal data fusion and alignment techniques. Experience with spatial transcriptomics or other -omics data analysis. Proficiency in Python programming and scientific
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and AI-driven computational approaches to reconstruct and redefine tissue architecture in 3D space. The goals of these projects are to uncover the rules governing the spatiotemporal dynamics of tumor
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, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by developing theories, principles, tools and methods
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to contribute to cutting-edge research investigating the physiological and psychological impacts of spaceflight. Our program focuses on human analog studies to simulate microgravity and explore
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computed tomography (XCT) imaging of a variety of specimen types including irradiated fuel samples, analyzing the generated 3D XCT datasets to identify and quantify features of interest, and interacting with
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vision system for precision swine management, working with Dr. Tsai from ANSC and JYGA Tech. The candidate is also expected to support Dr. Wang to manage the lab, write grant proposals and conduct research
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in intelligent edge computing architecture for industrial IoT. It also broke through key technologies in 2D/3D model fusion, serving medical care and cultural heritage protection, and developed cross
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transfer our knowledge to society. We are doing this according to our vision: “Taking the pulse of our Earth to safeguard a habitable planet”. For section 1.2 Globales Geomonitoring und Schwerefeld