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for Biological Cybernetics. The successful candidate will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive
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will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning
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centres’ three thematic fields – ‘history’, ‘experience’, and ‘nature’ – and relate to the fourth of the four designated themes for the following academic years: 2024/2025: Theory 2025/2026: Society 2026
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the application materials and a speech sample during the interview) - good team spirit and ability to work effectively in a collaboration What would be desirable: - in-depth knowledge of the theory
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high-ranking journals and university presses Strong command of qualitative and/or quantitative comparative methods Field work experience in the MENA Fluency in English Fluency in at least one language of
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(or related topics) in algebraic Geometry very good command of spoken and written English (C1) What we offer a modern work environment a pay scale classification (TV-L) high responsibility in different working
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research fellow (f/d/m) to participate in the development of and quality control for control and housekeeping electronics as part of the project BECCAL. Depending on the background and research interests
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quantitative image analysis - teaching experience at university level (practical courses, seminars, or tutorials) - very good command of written and spoken English (at least C1) - independent
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, ideally with a background in graph-based or geometric deep learning. Written and oral command of English is essential. Research environment The Max Planck Institute of Biochemistry, Martinsried, was founded
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bioinformatic preprocessing pipelines for large-scale biological data is an advantage. Written and oral command of English is essential. Research environment The Max Planck Institute of Biochemistry, Martinsried