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. To that end, we will collect comparative observational data from wild and captive bonobos to assess behavioural variation on the individual, research setting and species level. This project will thus
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the beneficial use of ML in healthcare through research in the foundations of safe ML-systems and the development of protocols and automatic tools for their certification. Therefore, the project is looking for a
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. Furthermore, we develop advanced scattering methods and machine learning tools for data analysis. For more information, see www.soft-matter.uni-tuebingen.de Qualification and skills Candidates should have good
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of psychology, empirical educational research, data science, education sciences, cognitive science, or related disciplines who is eager to engage deeply with topics related to learning, motivation and development
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Research Center on Human Evolution (CENIEH), Spain. Candidate Profile PhD in palaeoproteomics, proteomics, biomolecular archaeology, chemistry, or an applicable field; Experience in generating de novo