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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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) on Foundation Models and/or Deep Learning for Imaging Problems. The Professorship for Machine Learning at TUM works on machine learning, artificial intelligence, and information processing. The current focus is
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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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group of Analysis of Microscopic BIOMedical Images (AMBIOM) within the department Biospectroscopy in Dortmund we invite applications for a: Masters Intern (m/f/d) Machine learning and bioimage analysis In
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Fraunhofer MEVIS is a world leading and internationally connencted research center for computer assistance in medicine. With about 140 employees, our mission is to conduct patient-centric research
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/or spatial multiomics, advanced imaging, iPS cells, machine learning, and computational biology. The ideal candidate will have a passion for addressing fundamental questions in biology and an eagerness
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« »Transport Processes« »Image Processing« »High Performance Computing« »Financial Mathematics« »Materials Characterization and Testing« What you bring to the table The requirements for your field of activity
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-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this project, we highly
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defects of smectic-liquid crystal order in developing cross-striated muscle, or use machine-learning to expand existing custom-built image analysis pipelines (Python, Matlab). To learn more about this
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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and