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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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: Development of algorithms that allow integration of MS imaging data with other imaging modalities, perform tissue and cell segmentation, imaging-based single cell metabolomics Optimise imaging data
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, data analysis and image reconstruction as part of her/his research activities. The development process will give the successful candidate the opportunity to strengthen her/his skills in optics, lasers
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the research group “AI for Image-Guided Diagnosis and Therapy” of Benedikt Wiestler at the TUM School of Medicine and Health. The project is about developing next-generation DL algorithms using attention
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analysis, simulation, chemometrics, control engineering, artificial intelligence, soft sensors, and process sensors. We are always looking for new technologies and new methods to monitor and optimize
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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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medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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18.10.2022, Wissenschaftliches Personal The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes