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a collaboration between five Helmholtz Centers (MDC, GFZ, AWI, DESY, HZB), the Berlin Institute for the Foundations of Learning and Data (BIFOLD), and three Berlin universities. To strengthen our team
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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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for many applications and processes, like in self-driving cars or to prevent factory workers from being injured by heavy machines. While AI algorithms may achieve great accuracy in the detection of persons
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regulations. Furthermore, the gathered data serves as a valuable resource for machine learning applications, enabling predictive analytics and facilitating continuous improvement in coating processes through
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and machine learning / artificial intelligence methods in combination with complex network analysis tools to predict and model interactions between food and biological systems further scientific
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) department develops innovative deep learning technologies in the area of image and video analysis. The department's competencies cover the entire processing chain, from the collection and analysis of visual
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, innovative research program particularly in the field of systems immunology applying novel high-resolution technologies, and/or computational analysis methods and artificial intelligence/machine learning is
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optical communication networks and systems, as well as machine learning, computer vision, and compressing digital videos. Become a part of our team and join our scientific team in the multimedia
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advanced statistical/chemometrics and machine learning tools, iv) to couple metabolome data with other omics datasets (e.g., genomics, lipidomics, metallomics, and others). Main target areas are drug
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of study Good Java and/or Python programming skills Machine learning knowledge and experience Experience with Static Analysis is recommended Good language skills in German and/or English What you can expect A