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tracking immune cells in cell culture and murine models of inflammation and cancer Conducting histological analysis for validation and correlation of imaging results Analyzing imaging data and contributing
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. 2D-MATURE invites applications for 2 positions for PhD candidates (m/f/d) (3.5 years, 100 % TV-L 13) in the research areas of growth, analysis and electronic / optoelectronic device implementation
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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research. For the working group “Past and Future Earth” (PATH) within the Research Department “Earth System Analysis”, PIK is offering a PhD position (m/f/d) (Position number: 21-2025 PhD PATH) in the field
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dysfunction Data collection, analysis, and interpretation using cutting-edge imaging and computational tools Presenting research findings at conferences, lab meetings, and through publications in high-impact
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, there is a wide range of world-class facilities available for a plethora of analysis methods. The MPI offers programs for balancing work and family life as well as further training opportunities and free in
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, there is a wide range of world-class facilities available for a plethora of analysis methods. The MPI offers programs for balancing work and family life as well as further training opportunities and free in
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REQUIREMENTS: A Master’s degree in Biology, Biomedical Imaging, Physics, or a related discipline A strong interest in in vivo imaging, cell tracking, functional cell analysis, and data interpretation Previous
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candidate in this project is element-specific analysis of the influence of electronic decoupling on the spin-state switching of SCO molecules by characterizing the magnetic and electronic properties of spin
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framework to enable meta-analysis of multiple large biobank datasets, all of this with the aim of increasing our sensitivity to unravel the complex genetic causes of disease and, in so doing, identify new