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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | 2 days ago
opportunities for cutting-edge research projects. Students benefit from the extraordinary infrastructure enabling all types of cognitive neuroimaging experiments. The IMPRS CoNI covers all major imaging and
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into an autonomous AFM system for topographic, nanomechanical, and nanoelectrical imaging of living cells and tissue. To validate the operation of the system by non-expert users. Responsibilities: Implement and assess
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. This is a qualification position within the meaning of the Wissenschaftszeitvertragsgesetz (WissZeitVG), which serves to develop scientific competencies and to promote a PhD procedure. The position is
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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
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to be filled is part of the second phase of the Collaborative Research Center 1463, "Integrated Design and Operation Methodology for Offshore Megastructures", funded by the German Research foundation (DFG
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 3 months ago
. This requires highly qualified personnel, can only be carried out in specialized laboratories, is time-consuming and has low statistical significance. Automated microscopy in combination with customized image
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets
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single industrial environmental burden of our generation. Disruptive innovations are required for alternative reduction processes that convert mineral ores into metals without today’s carbon-based methods
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information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image processing
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or computer science Strong academic background in signal processing, radar imaging or remote sensing Proficiency in image processing and machine learning Interest in working with Radar instruments and data Excellent