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Science, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation
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of extension (TV-L E13 75%) in a highly motivated team combing on equal footing experimental and theoretical research. Professional career development complementing your scientific research is offered via TUM
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the Explainability of Deep Federated models. Publish and present scientific results at international conferences and high-impact journals. Close collaboration with team members and colleagues. Essential qualifications
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heterogeneity; namely non-iid and domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact