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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 framework of the project using statistical methods. - Contribution to academic publications based on project’s results. - Administrative support of the project, its events and activities. The employment
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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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Obligation Regulation (LVVO) - participation in academic self-administration Requirements: - Completed academic university degree (Master’s or Diploma) in Chemistry or Biochemistry - completed PhD in Chemistry
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analysis. - The student will be expected to contribute in locating, collecting, harmonizing, and systematizing historical data from primary sources of various countries and firms using statistical software
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spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision
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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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, migration / diversity or transnationalization research & familiarity with related literature - working knowledge of syntax based statistical software (preferably Stata or R) - knowledge of a further European