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for tabular-native models. This can involve, for example, studying new TRL model architectures, serialization and tokenization techniques, among others. A strong interest and background in AI and/or NLP
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analysis systems, to ensure safe and trustworthy results. This can involve research questions from NLP and AI like model robustness and guardrails, human-computer interaction such as interpretability and
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learning and NLP technologies Experience with social media data or remote sensing data is a plus Solid command of the English language both in written and spoken form (German language is a plus) What we
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to build innovative solutions involving industrial partners Interest in applying NLP technologies to problems and texts from the legal domain Strong communication skills and the ability to lead software