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laboratory, ground-based and aircraft experiments with innovative modelling to study the fundamental physical and chemical properties of aerosol particles and clouds. Current research focuses on related but
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, control theory and contemporary stochastic volatility modeling. The successful candidate will cooperate with the members of Christa Cuchiero’s group as well as with the associated research groups
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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize
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to be coupled to model-free analysis of molecular dynamics simulations. This includes work in the biochemical wet-lab as well as with prototype NMR spectroscopy and computational tasks. You have previous
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human study populations and ideally including experience in advanced statistical modelling of indicators of diet and health. The successful candidate will have to coordinate his/her activities in teaching
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models, time series, cross-sectional or network data, also in high-dimensional, high-frequency, and/or misspecified scenarios. Proficiency in modern data science methods and their applications would
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applicants for a 6-month paternity leave replacement who have a strong interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental
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. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods such as
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observations with experimental studies, bridging molecular-level interactions at environmental interfaces with complex, large-scale environmental dynamics through quantitative modeling. EDGE actively addresses
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experience in statistical modeling High interest in working in an interdisciplinary research field Experience in academic writing and with research methods First experiences in presenting research ideas