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integrate into our databases) integrate living synthesis pipelines into human-in-the-loop processes (e.g. Cochrane crowd or NACSOS ) evaluate and develop automation tools for information extraction help us
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Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | about 1 month ago
processing emotional memories at a whole-brain level. Who you are We are seeking a motivated research assistant to support and contribute to the data processing and data management on this project
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Chair of Biological Imaging 10.02.2026, Academic staff We now seek a highly qualified and motivated Post-doctoral researcher (f/m/d) to drive the development of methods for optoacoustic data
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Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner Engage independently in data
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at the MPG. These topics are also considered and implemented in the Max Planck Postdoc Program. Applications from people with severe disabilities are strongly encouraged. For more information about the Max
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: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
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using sighting data and ship positional data, as well as passive acoustic recordings, the project will provide an overview of how hotspots in human and marine mammal presence are distributed in affected
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 21 days ago
Behavior (CASCB), providing access to shared infrastructure, high-speed data networks, and central technical services. Computational needs will be met through multiple layers of resources: local GPU-equipped
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to the research and development of dexterous end effectors for a new 6G-based teleoperated surgical robotics system. This position stems out of the large scale 6G-Life project (https://6g-life.de/) and will give
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-informed / simulation-aware modeling Efficient algorithms for design-space exploration (e.g., surrogate modeling, Bayesian optimization, differentiable programming) Hybrid approaches combining data-driven