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(100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a highly-motivated postdoctoral research fellow with strong expertise in cognitive computational modeling and an interest in applying
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09.09.2026 Application deadline : 31.10.2026 Postdoctoral Research Fellow in Computational Modeling of Digital Education Data (100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a bright
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academic and industrial expertise in epigenetics, mathematical modelling and high-resolution stable isotope labelling based analysis of the dynamics of metabolic cofactors and post translational
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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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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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models for graphs. As part of Karsten Borgwardt's Department of Machine Learning and Systems Biology, these methodological advances will provide the foundation for a broad range of downstream analyses
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of the CTAO medium sized telescope (MST) pathfinders to be deployed in Chile. Specifically, the candidate shall work in the areas of performance measurements, data analysis and simulation models. Besides
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intersection of physiology, computational analysis, and aging neuroscience. Autonomic function shifts dramatically across the adult lifespan, yet these midlife changes are largely missing from current models
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light-matter interactions - support the development and implementation of BECCAL, especially by modelling the system and exploring experimental sequences for the operation of BECCAL during the later
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of experimental protocols, software pipelines, and laboratory procedures • Contribute to data-driven approaches for predictive colloid science, including experimental design, data analysis, modelling, and machine