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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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://www.biologie.uni-hamburg.de/en/forschung/grk2530.html). The doctoral candidate will investigate the effects of increasing flooding frequency (as predicted under climate change) on the interactions between alluvial
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systems, mainly plants. The BM^2 Lab is mainly computational and uses ad-hoc developed modeling tools such as MorphoMechanX to provide explanatory and predictive scenarios for developmental problems. We
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta