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Computer Science and Engineering Department sponsors a unique Natural Language Processing Professional Master's Degree Program at the Silicon Valley Campus. The field of Natural Language Processing (NLP) develops
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Postdoctoral Position in Applied AI, NLP, and Large Language Models in Health Care Background: We are thrilled to present an exciting opportunity within the Data and Decision Science Lab in Health
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improvement, Precision Medicine Informatics, Predictive and Causal Machine Learning, and NLP. They engage in numerous collaborative proposals across the UMN 6 Health Sciences Schools and across the disease
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is a model of risk of cardiovascular disease among individuals with prediabetes. Develop and Fine-tune Large Language Model (LLM): Utilize your expertise in natural language processing (NLP) and
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veteran status. Required Degree Doctorate Minimum Requirements PhD in NLP/AI/ML; Experience in designing deep learning models and relevant publication record; Communication skills and team work. Desired
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together to solve meaningful problems. This role reports directly to the Chief Data Scientist. Responsibilities Train predictive NLP/Transformer models using cutting edge technology Prepare and transform and
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. Present and report research results, publish scientific results in top-tier AI/NLP/Computing peer-reviewed conferences and journals in a timely fashion. Basic Qualifications: Ph.D. in Computer Science
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Partnerships (NLP), and the Indigenous Sentinels Network (ISN). The person in this role will have a deep passion for agriculture in Alaska and serve as a champion for in-state farmer training, a willingness to
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, faculty performance, student/learner success and/or persistence. Develop Natural Language Processing (NLP) models to evaluate student readiness, conduct sentiment analyses to better understand student
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postdoctoral associate to collaborate on data science projects, such as health risk assessment, predicting adverse outcomes, signal processing and natural language processing (NLP). As a postdoctoral associate