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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is looking to employ a Research Software Engineer for “Physics Ask” (m/f/d) to work in Team
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computer skills for text and image processing (Word, Excel) Experience with statistical analysis programs like R Experience with image editing and processing software like ImageJ, Photoshop Experience with
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biology, including: Genetic engineering of human malaria parasites (CRISPR/Cas9, DiCre, etc.) A broad spectrum of cutting-edge imaging methods (live-cell and time-lapse fluorescence microscopy
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output of the neutral atmosphere dynamics and chemistry of UA-ICON. A requirement will be to install TIE- GCM at the supercomputer of the German Climate Computing Centre, where UA-ICON is running
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-performance computing and imaging facilities. a collegial, international atmosphere and flexible, family-friendly working hours a structured PhD programme with extensive training and career-development
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of Digitality and Materiality, Prof. Dr. Sebastian Vehlken); Jade University (Prof. Dr. Sascha Koch, Computer Science and Data Analysis); and the University of Hanover (Prof. Dr. Monika Sester, Cartography and
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particular emphasis on the Baltic Sea. Scientists at the IOW work across five departments—Physical Oceanography, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations—in
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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research