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: Ongoing master's studies at TU Wien in the field of Geodesy and Geoinformation, Computer Vision/Image Processing, Computer Science, Physics, Mathematics or similar Good knowledge in computer vision
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, you have experience with Python, computer vision, image processing , or machine learning. Experience with PyTorch, image embeddings, vision-language models, OpenCV, or vector similarity search is a plus
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is a new, state-of-the-art facility for image analysis and model construction for medical digital twins. It supports the clinical research and educational mission of the Center for Computational
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. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
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processing, and basic IHC/IFC staining techniques. HT (ASCP), HTL (ASCP), or equivalent certification. Experience with antibody optimization, image analysis/fluorescence microscopy, automated IHC
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processing, and basic IHC/IFC staining techniques. HT (ASCP), HTL (ASCP), or equivalent certification. Experience with antibody optimization, image analysis/fluorescence microscopy, automated IHC
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protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. We
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. We also welcome applicants with applied projects
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of computer vision and digital image processing. You enjoy analytical thinking. You can work in a structured manner, both independently and as part of a team. What we offer Fascinating challenges in
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. We also welcome applicants