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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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of programming languages (e.g., Python or R) We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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(ZMO). As a part of Freie Universität Berlin’s Department ofHistory and Cultural Studies, our offices are situated on its campus in Berlin Dahlem. Programme The BGSMCS supports doctoral candidates who
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of programming languages (e.g., Python or R)We offer: • An exciting and highly topical research project • Supportive working atmosphere in an international research team • Collaboration with national and
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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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Time Span 01 Jan 2026 for 3 years Application Deadline 30 Sep 2025 Areas of study Art History, Musicology, African Philologies, African Studies, Pre-Columbian American Philologies, Pre-Columbian American Studies, Greek Studies, Latin Studies, Book Science, Museum Studies, Documentation Science,...
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at the host-virus interface. Our central methodologies are solution NMR, crystallography and SAXS, together with a broad method spectrum from biochemistry and biophysics. In this project, we plan to analyze
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at the universities in Berlin: Freie Universität (FU), Humboldt-Universität (HU) and Technische Universität (TU). We offer an excellent doctoral program taught in English in a broad and active research environment
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. Collaboration between students and researchers at the partner institutions is facilitated through a lively exchange program. The professional training of students includes data science as a supporting component
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g