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and generation of workflows that transform (geo)data into answers to user questions. You are expected to be open to exploring hybrid approaches that combine symbolic and sub-symbolic AI methods
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models. We further propose to develop scalable structure learning methods for these new models, including latent variable identification, and to demonstrate their effectiveness on real data. For this, we
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complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
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to evaluate the effects of adaptive dialogue strategies on engagement, openness, curiosity, empathy, and reflection; Contribute to reusable experimental infrastructure, datasets, evaluation methods, and
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transformation with innovative approaches and methods? Please feel invited to apply with your CV and motivation letter. Job description As an assistant professor you will be contributing to the research, education
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common considerations like bias and fairness. Second, you will also design methods to systematically evaluate various models against these established standards and values. This contributes