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of neuronal networks, and applies these methods to experimental data in the context of international collaborations. Dr. Michael Denker, team leader at IAS-6, studies the relationship between the microscopic
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facilities for your work NETWORKING & EXCHANGE: You will participate in (international) conferences and project meetings and actively build your scientific network SUPERVISION & SUPPORT: We will accompany your
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
Job Code: PostDoc 02/26 Job Offer from July 10, 2026 The Dept. of Neurophysics at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig (Germany) invites applications
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studies have demonstrated the limitations of current ground- and satellite-based observational networks. The PhD project aims for a new method to derive ground-level concentrations from satellite-based
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sustainable operation of future energy networks by combining our knowledge of energy systems with cutting-edge developments in machine learning, generative AI, and digital infrastructures. Your Job
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stormflow (SSF). A novel experimental design is used to identify hillslope SSF and to track its physical and chemical signatures during passage through the riparian zone and along the stream channel network
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passage through the riparian zone and along the stream channel network based on hydrometric and tracer-hydrological measurements. Research will benefit from the previously installed extensive monitoring
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outstanding publications, international orientation, visibility, and strong research networks, experience with research collaborations and joint research as well as raising competitive third-party funding
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actors: within which formal and informal network structures do human and non-human actors shape energy environments? Thirdly, we are concerned with competing narratives: which notions, topoi and concepts
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large-scale application of advanced Large Language Models (LLMs) to systematically code rich qualitative case narratives. This AI-assisted case-survey method enables rigorous large-N cross-case comparison