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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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Maarten Sap's group in the LTI at CMU. Core Responsibilities: Conducting research in NLP and social intelligence of agents, ethics of AI and positive applications of AI (culture, mental health). Leading
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Maarten Sap's group in the LTI at CMU. Core Responsibilities: Conducting research in NLP and social intelligence of agents, ethics of AI and positive applications of AI (culture, mental health). Leading
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additional expertise in machine learning (ML) and natural language processing (NLP). The successful candidate will become part of our dynamic research team, focusing on the complex relationship between cancer
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Zurich and is supervised by Prof. Livia Schubiger. The candidate will work with the IRDS group on projects that leverage NLP, causal inference, and machine learning to explore norms related to gender-based
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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-edge research in natural language processing (NLP) with innovative artificial intelligence (AI), the lab is dedicated to creating powerful tools that tackle critical healthcare challenges and integrate
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | about 2 months ago
/public/classic/en/offres/2025-08683 Requirements Skills/Qualifications Python programming. Deep Learning with Python (preferably with Pytorch). Experience with GIS. Experience with NLP would be a plus