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Field
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scientists for BMI's research and service goals, particularly in NLP projects. You'll design, develop, and maintain innovative software applications using NLP and Large Language Models (LLMs) to enhance
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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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solutions cover computer vision, NLP and general ML, such as object detection for autonomous vehicles, question-answering AI for education chatbots, and fraud detection for insurance. We are expanding our
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management and communication skills in spoken and written English Statistical/programming experience and/or applied experience with Python, R, or other languages Experience with NLP or other aspects of ML
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or take over sponsorship of an employment visa for this opportunity. Relevant knowledge, skills, and abilities include: Software development skills in Rust. Classroom-level experience with NLP and ML tools
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or take over sponsorship of an employment visa for this opportunity. Relevant knowledge, skills, and abilities include: Software development skills in Rust. Classroom-level experience with NLP and ML tools
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Party Survey are well-known examples). Alternatively, other approaches rely on the texts of party manifestos through annotations or NLP methods (for example, by automatically identifying named topics and
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science), together with some relevant experience in natural language processing (NLP). You should possess good knowledge of programming in Python. Informal enquiries may be addressed to Janet Pierrehumbert
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experiment with natural language processing (NLP) techniques to extract valuable insights from unstructured data. Develop visually appealing and informative data visualizations to facilitate decision-making
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to completion, in a University setting (essential). Track record of publishing in international peer-reviewed journals (desirable) Demonstrated experience in Natural Language Processing (NLP) and/or Item Response