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for stakeholder perceptions and associated decisions related to future event uncertainty and co-benefit (co-cost) valuation. The focus of this role is on the use of advanced AI techniques to augment traditional BCA
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deployment; designing equivariant data augmentation strategies within the digital twin to generate diverse, physically valid demonstrations for imitation learning, enabling robots to learn robust manipulation
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capability within an advanced academic research environment, with the goal of driving patient value by addressing unmet medical needs in record time. The DFI’s goal is to optimize or augment microbiome
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infographics, micro learnings, multimedia assets, etc.) Experience collecting and analyzing learning analytics data to inform new or augmented design practices to improve student learning. Experience
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retrieval-augmented generation (RAG) and knowledge-base integration to improve productivity and decision quality in functions such as customer support, sales, marketing, finance operations, HR, and
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therapeutics, wearables, artificial intelligence (AI) and machine learning (ML), public health surveillance systems, and virtual/augmented/extended reality. Health conditions of interest are also broad and may
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international reputation in design education by creating a specific focus on emerging areas such service design, design strategy, virtual and augmented reality and AI. It comprises approximately 120 academic and
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worldwide with world-class expertise and instrumentation for multidisciplinary nanoscience and nanotechnology. Learn more about CNM themes at: https://cnm.anl.gov Focus Areas (expertise in one or more is
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employee supporting a trial looking at ketamine augmentation of Mindfulness Oriented Recovery Enhancement. There would be the possibility of also working on other psychedelic-assisted therapy clinical trials
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employee supporting a trial looking at ketamine augmentation of Mindfulness Oriented Recovery Enhancement. There would be the possibility of also working on other psychedelic-assisted therapy clinical trials