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impresses with affordable living costs, high quality of life and an urban culture close to nature. It also offers an excellent regional transport network and good connections to European travel routes and
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of research focus include machine learning/learning analytics, multimodal assessment, adaptive learning in online settings, and the role of self-regulation in learning with AI. Close networking with
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experience in the field of R-supported programming (others possible, e.g., Python) of complex data preparation and evaluation procedures as well as very good knowledge in the acquisition and processing
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Programmes Equity Fields of Action Networks for Equity Kontakt Team Equity News and publications Back Press Releases attempto online Newsletter Uni Tübingen aktuell University of Tübingen magazine Attempto
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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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effects. Strong interaction within the GRK network at Saarland University. Conduct electrochemical characterization, including cyclic voltammetry, galvanostatic charge/discharge, and electrochemical
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Life Sciences« , we develop fully automated production platforms for manufacturing complex medical and pharmaceutical products. One example of this is cell therapies based on stem cells, which have
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the field. Participation in international scientific networks in genomics is expected. The future holder of the position is expected to competently and strategically strengthen the scientific orientation
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within the highly interactive and interdisciplinary network of IMIT and DZIF. Moreover, they should integrate into Tübingen-based German Research Council-funded research networks such as the Cluster
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networking on GNPS platform, SIRIUS, and others), ii) to develop methodology for analysis and identification metal binding metabolites, such as siderophores in marine microbes, iii) to analyse the data by