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. The Humboldt-Universität zu Berlin is bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Data protection
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bound by collective agreements and applies the TV-L HU. Information on pay grading and the annual salary scale can be found here: https://hu.berlin/ETRL . Data protection information on the processing
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, Legal Studies). Resources and budget to conduct large-scale simulations or behavioral experiments. Engineering support by research engineers (Web experiments/ML/computational infrastructure) and
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biomarkers. Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts. Process and analyze cardiac signals, including spectral decomposition
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. The successful candidate will develop machine learning models for large-scale biological data and connect predictive modeling with mechanistic understanding. As part of Karsten Borgwardt's Department of Machine
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the broader areas of multi-modal learning analytics, AI in education, and (computer-supported) collaborative learning. The successful candidate will join the interdisciplinary DFG-funded project AEyeCoL
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Research Institute and will also be affiliated with the Max Planck Institute for Biological Cybernetics in Tübingen. The Hector Research Institute (https://uni-tuebingen.de/en/80946 ) is a nationally and
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while also being applied directly to frontier problems in biology using unique, large-scale experimental datasets generated across the Max Planck Institute of Biochemistry. Qualifications The successful
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https://jobs.dkfz.de/en/jobs/168771/dkfz-postdoctoral-fellowships-2026?mtm_camp… Requirements Additional Information Website for additional job details https://jobs.dkfz.de/en/jobs/168771/dkfz
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via neutron spectroscopy (JCNS-3) All three projects involve hands-on participation in experiments at large-scale facilities, laboratory-based characterization techniques, requiring visualizing