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Field
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such as 3D tissue imaging, molecular profiling are combined with AI tools to decode the complexity of tissues and shed light into cancer biology. Our interdisciplinary team — comprising biologists
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for neutron scattering and imaging instrument development. You will work in close co-operation with colleagues from GEMS and with the project partners, e.g. colleagues from Forschungszentrum Jülich
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management of factory operations. The Machine Vision department draws on its many years of expertise in image processing and pattern recognition to develop new fields of application, particularly for mobile
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 23 hours ago
to decode the complexity of tissues and shed light into cancer biology. Our interdisciplinary team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation
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and imaging instrument development. You will work in close co-operation with colleagues from GEMS and with the project partners, e.g. colleagues from Forschungszentrum Jülich. The position will
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, computer vision and image processing Responsible independent worker Proficient English skills The working time consists of 10-20 hours per week. The position is initially limited to three months
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management of factory operations. The Machine Vision department draws on its many years of expertise in image processing and pattern recognition to develop new fields of application, particularly for mobile
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, Multi-modal Learning, Self-supervised Learning, Computer Vision Proficiency in programming languages and tools relevant to data science and AI, with strong skills in Python and knowledge of NumPy, OpenCV
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at the Faculty of Life Sciences and further relevant institutions at Leipzig University (e.g., Faculty of Medicine, Institute of Computer Science) as well as non-university research institutions (e.g., Max Planck
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial