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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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- and time-specific innervation that extends into adolescence. Our lab has used whole-brain tissue clearing, light-sheet imaging, and machine learning to map the spatial and temporal dynamics of serotonin
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information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on collaboration
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
Science at University of California, Los Angeles, invites applications for part-time positions as a Visiting Researcher. These areas include, but are not limited to, Artificial Intelligence, Computer System Architecture
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. Specifically, the PhD candidate is expected to contribute corpora preparation (collection and organizing the annotation), use machine learning approaches for irony detection, and testing for experimental and
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operational data and machine learning. You will be based at UCL mechanical Engineering, and collaborate with industry and port partners on system design, prototyping, and lab-based trials. Key responsibilities
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
immune modulation using CAR Tregs. Designs and executes experiments to evaluate the safety and efficacy of genome-edited cells. Assesses the functionality of engineered cells,and evaluates
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, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status. Duke aspires to create a community built on
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of future experimental platforms. Securing research funding to support and expand activities in this domain. Supervising and inspiring students at all academic levels. You must contribute to teaching at
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to these challenges, working with high performance and distributed computing environments, working with large-scale machine learning models, and a proven research record of scholarly contributions through publications