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Job Code: 30/2026 Job Offer from August 14, 2026 At the Max Planck Institute for Human Development, we study how and why people develop differently over the course of their lives, and how physical
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medicine, you will be able to understand the entire path from physical measurements to biological interpretation and develop robust analysis approaches tailored to challenging real-world biomedical data. You
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 20 days ago
, biomedical engineering, computer science, physics, or a related discipline. A strong background in fMRI data analysis (e.g., FSL, FreeSurfer, ANTS) and very good programming skills in Python and Bash on Linux
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-Cologne Graduate School of Physics and Astronomy is a joint programme of graduate studies between the Universities of Bonn and Cologne that was funded through the Excellence Initiative from 2007 to 2019
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learning o (High-dimensional) probability theory o Real and functional analysis o Information-based complexity The master's degree may still be in the process of completion at the time of application, but
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of shared worlds of imagination that provide orientation and support in everyday life. The process of imagination itself — its practices, dynamics, and historical developments — is at the centre of our
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are looking for a dynamic, serious, and motivated researcher with a Master degree in Geoecology, Geochemistry, Environmental/Organic Chemistry, Geoscience, Physical Geography, Landscape Ecology, Environmental
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machine learning, medical imaging, and security venues and journals. Your profile Master's degree in computer science, physics, electrical engineering, mathematics, or a related quantitative discipline
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Computer Science, Data Analysis, Software Engineering, Physics, Mathematics or related disciplines with a strong academic record. Strong programming skills, preferably in Python, and experience developing non
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evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning