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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 Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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’ Pentland from the Stanford Digital Economy Lab at HAI, Prof. Diyi Yang from Stanford NLP Group, and Professor Erik Brynjolfsson from the Stanford Digital Economy Lab at Stanford HAI. Qualifications
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oncology-specific NLP models with peer-reviewed publications is preferred. Strong quantitative skills are mandatory, including analysing large-scale databases (e.g., Hospital Authority EHR) using R/STATA/SAS
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. Knowledge of Arabic language is preferred, but not required. Previous work on Arabic NLP is preferred but not required. The terms of employment are very competitive and include housing and educational
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project Terrorist Group Adaptation & Lessons for Counterterrorism (TERGAP). The successful candidate will support counterterrorism data collection, experiment with the applicability of ML, NLP, LLM, and/or
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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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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics