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pollutant behavior, transport of dissolved and particulate substances, groundwater ecology and microbial dynamics, and quantitative hydrogeology. Job description: Methods for improving groundwater recharge in
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Bewerbungsende: 15.09.2025 The AI4Science Group (former Computational Molecular Biology - head: Frank Noé) is an interdisciplinary research unit active in the development of machine learning methods
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(Methods for Active Informed Machine Learning). This project is a close collaboration with the Hasso Plattner Institute. We are developing and improving machine learning methods by integrating domain
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
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to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a
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the opportunity to develop her/his academic profile (PhD#degree). Requirements: Master’s degree in sociology or neighboring social sciences Desirable: - interest in one or more of the following research areas
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software and in writing texts. Desirable: - Familiarity with working with quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e.g. R, stata
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The Institute of Virology of the Department of Veterinary Medicine at the Freie Universität Berlin (Head: Prof. Dr. Benedikt Kaufer) has a vacancy for a PhD position (TVL-13, 65%). The position is
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methods for data analysis and integration. Our research questions often originate from the life sciences or the (public) health sector. We integrate different levels of data and develop combined
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, collecting, harmonizing, and systematizing historical data from primary sources of various countries and cities using statistical software, as well as assist in making simpler descriptive analyses. Desirable