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. Independently sets up and performs sound experimental procedures. Suggests improvements in research methodology. May develop computational modeling methods. May manage IRB approval process and document IRB
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on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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Expert in advanced machine learning such as multi-agent generative AI, LLMs, Diffusion models, and traditional machine learning techniques Expert in CALPHAD-based ICME techniques Expert in combining
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models for proteins and biology and such other tasks that are assigned to you. Responsibilities: Performing research experiments following experimental protocol and procedures. Researching and documenting
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learning techniques, diffusion models and multi-modal (text-vision) models Knowledge of automated testing and debugging techniques Knowledge of autonomous systems Formal methods knowledge is a plus Joining
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, processing, and generating human language in both written and spoken forms. The research assistant (RA) will be responsible for implementing and evaluating software related to using large language models (LLMs
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/Connect learning outcomes model. Creating, organizing and presenting consulting industry-related programs, workshops, and online learning content. Cultivating potential, and developing existing
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/Connect learning outcomes model. Creating, organizing and presenting consulting industry-related programs, workshops, and online learning content. Cultivating potential, and developing existing
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are broad, and can include any of the below examples: AI programming agents to make programming more accessible More efficient language models that can be run directly on your mobile devices Pre-training
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and manage data models to support analytics and reporting needs. Develop and optimize ELT/ETL processes to ensure data quality and integrity. Collaborate with AI engineers to integrate machine learning