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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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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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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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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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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 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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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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(natural language processing) and machine learning methods. We are looking for very good graduates of Master's programs with a strong interest in topics of accounting or auditing who would like to dedicate
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the scientific IT of the Tectonics and Sedimentary Systems departments • Supporting team members with technical problems • Creation and maintenance of internal databases, including data backups, BSc/MSc/PhD and
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methods. Desirable: - enrolled in Sociology, Political Science, Economics, or related disciplines; - good academic achievements; - very good command of the English language (C1); - familiar with scientific