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We invite applications for a two-year postdoctoral position in Natural Language Processing, starting March 1st, 2026, to help rethink LLM alignment with a long-term, goal-oriented perspective
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a Research Infrastructure? No Offer Description This position offers the chance to pursue independent research in natural language processing within an international and collaborative environment. It
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will be part of a collaborative, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP
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, interdisciplinary team of motivated data scientists, clinicians, and epidemiologists. Your main focus will be developing and validating Natural Language Processing (NLP) models to extract clinically meaningful
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Linguistics, Natural Language Processing, or a closely related field or PhD near completion in Computational Linguistics, Natural Language Processing, or a closely related field* Demonstrated experience with
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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efficient beneficiation and purification processes for recovering potash and associated valuable elements from natural mineralizations, while ensuring the sustainable management and valorization of the brines
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valuable elements from natural mineralizations, while ensuring the sustainable management and valorization of the brines generated during processing. This work will involve mineralogical and chemical
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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at CMU is a world-renowned research and education hub at the forefront of natural language
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to your expertise. What do we require? A PhD degree (or equivalent qualification) in AI (e.g., machine learning, natural language processing or computer vision); A strong scientific track record, documented