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Field
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++ or similar) and an interest in quantitative or computational approaches are required. Prior experience with image analysis, machine learning, signal processing, or structural biology is meritorious but not
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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challenges of our time is straining our ability to exert cognitive control. Our Digital Age is characterized by a continuous flow of multi-source information. One of the pinnacle strategies to process that
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
of graph databases, prototype systems have shown how property graph views can be defined, materialized, and incrementally updated over underlying storage layers ([Han24]). However, existing techniques stop
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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Engineering » Computer engineering Engineering » Control engineering Engineering » Industrial engineering Engineering » Systems engineering Chemistry » Analytical chemistry Agricultural sciences » Agronomics
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relevant field (Informatics, Computer Science, Ecology, or Biology). strong Python programming skills proven experience with Machine Learning and image processing (Deep Learning/Object Detection) strong
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to fluorescently labelled AP-L complexes and analyze how the cells accumulate and spread the complexes over time using live cell imaging, immunocytochemistry, ELISA, Western blot, electron microscopy and other
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conjunction with imaging techniques (TEM, SEM, and AFM). This research project falls within CERMAV's key research areas and is being carried out within the “Self-assembly and Physicochemistry of Glycopolymers
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
recruitment, Ph.D. is an advantage, · practice min. 1 year in developing and implementing computer vision or image processing algorithms, · proficiency in Python (and optionally C/C++), · familiarity with image