133 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at DAAD
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offers access to state-of-the-art infrastructure and a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international
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Description In the Division of Diagnostics and Differential Psychology, we investigate systematic patterns and processes of personality development and personality-context transactions, with a focus
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-driven process control. A central objective is the development and optimization of robust, low-maintenance, and cost-effective sensor systems capable of continuously monitoring COD and other key parameters
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interdisciplinary research and training environment with specialized seminar series and tech talks and training courses that develop both scientific and complementary skills. As a 4R-RTG PhD student, you will be
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part of a vibrant interdisciplinary research and training environment with specialized seminar series and tech talks and training courses that develop both scientific and complementary skills. As a 4R
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to contribute to sustainable development. To this end, scholarships are granted for development-related PhD studies for individuals who plan to pursue a career in teaching and / or research at a higher education
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for a research assistant (m/f/d) - pay grade 13 TV-L, 65% for a limited period of three years. Your tasks: You will be working on a multidisciplinary project that aims to develop and test an mHealth
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collaboration with Q.ANT GmbH in Stuttgart, a deep-tech company that develops photonic computing and photonic sensing products. The goal of this project is the development of highly integrated vapor cells with
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, you will develop highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function
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available on site for the development of suitable radiotracers. One focus of the work is on the use and evaluation of large tomographic data sets to derive parameter data for reactive transport modeling