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the Youth and Young Adult Depression and Suicide Prevention Research Team as well as UM's Institute for Firearm Injury Prevention. Our team conducts community-engaged research and program evaluation in a
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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develop novel gene and cell-based therapies. This is a professional-level research position requiring minimal supervision. The successful candidate will independently lead and execute research projects
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Experimental research and with cognitive computational modeling. The fellow will be involved in the design and implementation of interactive web-based experimental studies and the use of existent high-fidelity
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Integrating quantitative data from multiple sources Additional responsibilities may also include contributions to scholarly writing and the development of training materials Knowledge of quantitative
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develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work with the world's first exascale system
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mouse models Knowledge, Skills, and Abilities Ability to multi-task and work cooperatively with others Ability to communicate with others Ability to mentor and train junior students or undergraduate
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vacation each month Automatic enrollment in the Teacher Retirement System of Texas Health and Wellness: Free exercise programs and release time Professional Development: All employees have access to free
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the intersection of programming languages and artificial intelligence (PL+AI), in particular verification and large language models. Our main goal is to create a PL+AI system that is the best at verified program
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crystal material’s growth and characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matter. Major Duties/Responsibilities: Development of theoretical