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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
research environment and welcome curious, critical, and motivated researchers who wish to contribute to an emerging interdisciplinary field. German citizenship or residence is not a prerequisite for applying
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are described here . Research Environment The University of Konstanz has been successful in the German Excellence Initiative and its follow-up programme, the Excellence Strategy and is among the most highly
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(PhD, 75%, 30h per week). Remuneration is in accordance with the German public tariff scheme (TV-L), salary group E 13. The successful candidates will be part of the Munich Climate Center and the Earth
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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. Excellent written and oral communication skills in English. DWI offers A fully funded position for an initial duration of 1 year with a E13 TV-L 100% contract, with possibility of extension A dynamic
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willingness to contribute to an interdisciplinary team Commitment to research in a translational setting Excellent English communication skills (spoken and written); German skills are advantageous Knowledge
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framework for AI in gynecological oncology. We integrate symbolic knowledge representation (Ontologies/Knowledge Graphs) with Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to create
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) Research experience in interdisciplinary working environments is beneficial Excellent written and oral communication skills in English What We Offer Opportunity to work closely with leading experts in Earth
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strategies), funded by the German Research Foundation (DFG). The successful candidate will contribute to evidence synthesis, develop mathematical models of TB treatment, and conduct health-economic analyses
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datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will