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06.10.2025 Application deadline: 10.11.2025 The following position is available at the Department of Linguistics of the Faculty of Humanities. Post-Doctoral Researcher Philosophy of Language
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research team. The ideal candidate should have: A PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university; Prior
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, technology policy and regulation, digital economies Producing and contributing to dissemination activities such as presenting research at academic conferences, producing policy reports/documents, and writing
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researcher (f/m/d) The Max Planck Institute for Multidisciplinary Sciences (MPI) in Göttingen, Germany and the Applied Physics Division at NIST in Boulder, CO, USA seek a qualified postdoctoral researcher to
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-edge field of Human-Centered AI Technologies using advanced Generative AI and novel interaction technologies. Potential Ph.D. projects may focus on large language model (LLM) research. Ph.D
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 3 days ago
01307, Germany [map ] Subject Areas: algebraic topology, applied topology, data analysis Appl Deadline: 2025/11/16 11:59PM (posted 2025/10/14, listed until 2025/11/16) Position Description: Apply
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 16 days ago
research team. The ideal candidate should have: a PhD/DPhil degree (or comparable) with a background in theoretical physics, applied mathematics or related disciplines from a recognized university, prior
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large scientific collaborations by applying methods from social network analysis, large language models (LLMs), and knowledge graph technologies. As part of a small, supportive research team, you’ll have
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, parameterization, simulation experiments, and output analysis very good programming skills in at least one language (e. g., R, Python, C++, or Julia) a strong interest in interdisciplinary work (e. g., demonstrated
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often represented in large neural networks that are hard to analyze and whose decision processes cannot be interpreted by humans. To make this technology available without sacrificing safety concerns, we