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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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or prior experience with multilingual or low-resource NLP Programming skills in Python and proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and their application in high-performance
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the following topics: XAI, NLP, law, latent space analysis, uncertainty estimation. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends
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on findings. Collaborate closely with a multidisciplinary research team. Required Competencies: Experience with evaluation metrics and benchmarking techniques in NLP. Familiarity with model alignment methods
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the interplay between qualitative and quantitative methods and data. There is a growing focus on novel computational methods such as NLP, machine learning, and AI within the group. Teaching activities in