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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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omics, environmental, and chemical data, using machine learning and explainable AI. Depending on your background, interests, and evolving project needs, your work may focus on one of these areas or bridge
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committees is English; Very good spoken and written command of English, willingness to learn German during the duration of the employment. You can expect: A motivated, multi-cultural team of international
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requirement. We value diverse perspectives and are committed to finding the best candidate, recognizing that growth and learning are part of the role. We expect: a proactive and motivated approach to tackling
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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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the neural basis of high-dimensional category learning in vision. The project investigates neural mechanisms of category learning at the level of circuits and single cells, utilizing electrophysiology
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solutions and dual career options We provide support with various qualification and further training opportunities and use of the Haufe learning platform with numerous different online courses Application
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, company health management including support for child care solutions and dual career options We provide support with various qualification and further training opportunities and use of the Haufe learning
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, survey) or applied microeconometrics, and applied economics. You have experience with big data and machine learning methods? This would be a particular asset! With excellent English language skills, both