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of retrieval-augmented generation (RAG) for designing embedded systems without the need for retraining Investigation of the use of LLMs to support temporal and spatial resource planning problems Comparison with
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. Familiarity with artificial intelligence and machine learning concepts such as large language models, natural language processing, and Retrieval-Augmented Generation (RAG). Experience with AI/ML frameworks and
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learning or AI models. The role also involves applying principles from human–computer interaction and assisting with augmented reality features as needed for project activities. In addition to technical
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Postdoctoral Researcher – AI-Augmented Decision Science Indiana University Bloomington Department of Psychological & Brain Sciences and Luddy School of Informatics, Computing, & Engineering Position Overview
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telemetry; distributed sensing; and augmented and extended reality. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also
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, to augment classroom instruction. Preference will be given to candidates who have relevant teaching and practice experience. Application review will begin immediately and continue until all available vacancies
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course assignments. The ideal candidate will have experience teaching lecture, laboratory, and clinical courses, as well as experience in utilizing the virtual environment, such as Canvas LMS, to augment
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, to augment classroom instruction. Preference will be given to candidates who have relevant teaching and practice experience. Application review will begin immediately and continue until all available vacancies
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and nurture partnerships with academics, clinicians, industry, and professional associations to augment research impact. You may be a great fit if: You are an accomplished researcher with a strong track
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; explainable AI; cognitive/brain-inspired computing; human-centric AI; intelligent assistants; intelligence augmentation; human-in-the-loop AI. · Human-Machine Collaborative Systems o Pervasive Sensing