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candidate to join our team to contribute to a project which will focus on the development of machine learning (ML) architectures for predicting and designing enzymatic reactions. To create the ML framework
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(indilearn.de/predict ), in which we are investigating the effects and underlying mechanisms of generating predictions on learning success in children and adults. The project is carried out in collaboration with
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central committees is English; Good spoken and written command of English and a willingness to learn German during the time of employment. You can expect: A motivated, multi-cultural team of international
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methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research
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interest in working in an interdisciplinary and international project team commitment to contribute to a positive work environment and learning processes within a dynamic working group organizational skills
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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
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and dedicated to the research on learning and memory. Our research comprises all organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior
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and dedicated to the research on learning and memory. Our research comprises all organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior
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Opportunity for independent research within ZAS's overarching research themes 30 paid vacation days and research funds Possibility to teach at Berlin area universities if desired Support to apply for own grant
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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