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. This project will focus directly on the evolution of common ground. We will explore the implied cognitive complexity of great ape communication to identify evolutionary trends and simulate dynamics that might
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of academic work (max. 10 pages) Copies of degree certificates and diplomas Proof of your language skills Please submit all documents in one collated PDF file to Silke Engelhardt by email (ambivalent-enmity
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/phytophotonics Please submit your application and supporting documents by June 29, 2025 electronically to Email: dag.heinemann@hot.uni-hannover.de or alternatively by post to: Gottfried Wilhelm Leibniz
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://www.hot.uni-hannover.de/en/research-groups/phytophotonics Please submit your application and supporting documents by June 29, 2025 electronically to Email: dag.heinemann@hot.uni-hannover.de or alternatively
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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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of great ape communication to identify evolutionary trends and simulate dynamics that might explain the evolution of common ground in humans. For more information see the following representative articles
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://www.hot.uni-hannover.de/en/research-groups/phytophotonics Please submit your application and supporting documents by June 29, 2025 electronically to Email: dag.heinemann@hot.uni-hannover.de or alternatively
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will receive high quality supervision from the chair’s senior academic staff and might be involved in teaching at under/postgraduate level as well as funding acquisition and (global) outreach, if desired
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computer science, business informatics, mathematics or similar with interest in scientific work as part of a doctorate. Independent, structured way of working, quick comprehension and the ability to familiarize
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modelling • A high fascination for technical/scientific problems of theoretical and numerical research • Experience in the field of numerical time-accurate flow simulation, preferably turbomachinery • Ability