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and implementing generative AI-powered adaptive systems. The second position centers on educational data science, primarily inVolving the theory-driven analysis of existing longitudinal datasets as
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. Applicants should have a background in population genetics/genomics, molecular ecology, biodiversity informatics, or a related field. Experience with large-scale data analysis is essential. Additional
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of the research project “Unreal engines — Understanding language models through resource-optimal analysis: Implicit Bayesian pragmatic reasoning & emergent causal world models”. The project uses
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dating, proteomics (ZooMS), stable isotope geochemistry, or ancient sedimentary DNA. Familiarity with zooarchaeology and faunal analysis is useful; experience with field or laboratory work is desirable
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and others) Analysis of the experimental data, ideally connecting to our machine learning tools Presentation of scientific results on conferences and in publications Requirements PhD degree in physics