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of the established research group of Prof. Dr. Meyer zu Hörste and integrated with the Biology in Context Core Unit. REQUIREMENTS: Experience in Rodent experimentation and their legal requirements in
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language, literature, and culture in first, second, and foreign languages, both in school and out-of-school contexts. Doctoral projects may address historical, theoretical, or empirical questions in
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on the analysis and simulation of nonlinear partial differential equations arising in the context of interacting species study of interaction systems with applications to developmental biology, such as pattern
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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familiarize yourself with new concepts Enjoyment of scientific work in a cross-domain context High level of communication skills Outstanding skills in agile project management and the application of workshop
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the history of science – ranging from antibiotics to the DNA structure, CRISPR-Cas9, and modern pharmacotherapies – the project examines the contexts of emergence, participation structures, and the "moment
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problem-solving skills in technical/engineering contexts. Leadership experience in terms of leading or significantly contributing to multi-month technical projects and taking initiative in research
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contexts. Leadership experience in terms of leading or significantly contributing to multi-month technical projects and taking initiative in research or development activities. Experience working with
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results without constant supervision. Proven ability to work autonomously on complex technical problems and demonstrated problem-solving skills in technical/engineering contexts. Leadership experience in
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challenges facing modern societies. Specifically, the tasks are: Identify state‑of‑the‑art machine‑learning (ML) methods that can be applied to geochemical systems in geological contexts Assess these methods