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quantitative (Stata, R, Python, etc.) and/or qualitative (text mining, NLP, etc.) analysis skills. Desirable skills, knowledge, and experiences : - Ability to write summaries - Ability to conduct Interview
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with a team of data scientists, clinicians, bioinformaticians and computer scientists to fulfill the research and service missions of the BMI program, especially for NLP projects. You will play a crucial
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ongoing dataset focused on a series of Deliberative Town Halls between members of Congress and their constituents. Skills and experience with quantitative analysis in R (e.g., text-as-data, NLP
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automated means to continuously monitor the performance of AI models (including NLP models) developed by BGL BNP Paribas and to determine when and how to retrain these models in order to improve
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away from the allowed guidelines. Job requirements We look for a motivated and highly skilled candidate with: A PhD degree in AI/ML/NLP preferably with focus on generative AI and LLMs or a PhD degree in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
across the Research Triangle, the United States, and even the world. Position Summary A post-doctoral researcher position is available at UNC in the UNC-NLP Lab, focused on Natural Language Processing (NLP
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with a particular focus on AI for Science, Natural Language Processing (NLP), and AI for Operations. Our aim is to push the boundaries of computational science by integrating advanced AI methods with
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sciences, with a strong background in computational social science; or a Ph.D. in a relevant technical field (CS, AI, NLP) and a strong affinity in social science. Candidates without a Ph.D. but with
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sciences, with a strong background in computational social science; or a Ph.D. in a relevant technical field (CS, AI, NLP) and a strong affinity in social science. Candidates without a Ph.D. but with
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, clinical service, union assignments or other similar circumstances. Merits for this position are: Experience with natural language modelling (NLP) and machine learning. Experience of independent scientific