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size, leaving many key questions unresolved. Now, new AI-driven molecular modeling approaches have brought in enormous potential to make fundamental, high-impact discoveries. This is an exceptional
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data-driven modeling and parameter estimation techniques. A comprehensive experimental dataset is already available, with the possibility of conducting additional experiments if required. Potential
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, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding
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Job Code: 260916 Job Offer from September 16, 2026 The Carl-Zeiss-Stiftung group for co-evolutionary modelling of the coupled human-earth system at the MPI of Geoanthropology is looking for a
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noisy, partially mediated observations. These models will incorporate biologically informed structure, including protein-protein interaction networks derived from data-driven sources such as protein
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for Biological Cybernetics. The successful candidate will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive
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automatic interpretation of measurement data. A cornerstone of our systems is the automated, AI-driven interpretation of 3D point cloud data, which requires high-quality training datasets and, ideally, model
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language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world applications that improve
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, in particular the semantic integration of the "Preliminary Engine Architecture" tool and the GTlab framework for Large Language Models (LLMs), as well as multi-agent architectures for the automated
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-inspired, method-driven theory to application-driven research. Join our team as a dedicated scientist and contribute to our exciting research projects. Our work focuses on models and algorithms