269 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" "St" "St" positions at DAAD
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-LEE graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development
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in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the
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: System-Level Impact Analysis of IAM using Agent-Based Models Supervisor: Prof. Dr. Regine Gerike, Chair of Mobility System Planning and co-supervised by at least one additional professor
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international and stimulating work environment that promotes individual creativity and effective teamwork with a clear focus on quality output. More information about the group is available at https
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technology, computer science, data management and data analysis, or at the intersections of any of these fields. The school complements this with an individually tailored course program for both physicists and
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to state-of-the-art research facilities. This project is hosted by the relatively new Institute for Advanced Membrane Technology (IAMT) in collaboration with Dr. Graham Gagnon of the Centre for Water
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C++ or MATLAB are an advantage) Experience with Linux-based computing systems and computing clusters is desirable Interest in interdisciplinary research at the interface of physics, data science, and
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Master’s degree (or equivalent) in a relevant discipline such as computer science, mathematics, physics, or data science. They should have strong analytical skills related to statistics, machine learning
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is hosted by the new Institute for Advanced Membrane Technology (IAMT). The PhD will be registered in the Faculty of Chemical and Process Engineering. Contact Prof. Dr.-Ing. Andrea I. Schäfer
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties