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Theater and culture: special events, discounts and vouchers Application and Contact: Please send your application materials as a single PDF file to Prof. Dr. George Cutsail, george.cutsail@cup.lmu.de, using
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(university diploma or master's degree) in the field of geosciences, engineering or physics. Ideally, you have knowledge of numerical methods and experience with common programming languages (e.g. Matlab
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program, colloquia, workshops). Your tasks Processing and analyzing text-based data from learning management systems, assessment systems and qualitative data sources such as interview transcripts
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“Light- versus electron-induced spin-state switching of complexes on insulating layers” within the Priority Programme SPP 2491 “Interactive Spin-State Switching” This DFG-funded project aims
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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(MHH). The project is funded by the Wissenschaftsräume programme of the state of Lower Saxony and the Volkswagen Foundation. Your tasks will include: Design the physical intervention component of the app
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least one of areas like animal communication research, probabilistic modeling, or language evolution is a strong requirement. As the position involves computational / mathematical modeling in the form
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is committed to equity and diversity and actively promotes equal opportunities.The employment will be handled by the central administration of the University of Tübingen. Please send your application
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personal and professional growth, keeping employees up-to-date with the latest research and technology. Interdisciplinary collaboration: Our employees have the opportunity to collaborate with leading experts
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able to experience hands-on testing of a high-speed and engine-representative compressor further increases of the efficiency and stability margin. The project is highly innovative, will generate