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and microscopy. This 3‑year, part‑time (65 %) PhD position offers a unique opportunity to advance fundamental and applied understanding of host–parasitoid dynamics across diverse marine environments
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based on performance. A dynamic, interdisciplinary, and international research environment with excellent, state-of-the-art infrastructure. A cooperative, friendly and supportive environment, with plenty
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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
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the Research Group “Stochastic Algorithms and Nonparametric Statistics” in the project „SFB/Transregio 388“ SFB/Transregio 388 investigates the interplay between rough analysis and stochastic dynamics. Central