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discipline expertise and computational areas, such as data science, artificial intelligence (AI), machine learning (ML), generative AI and other technology innovations. Key details of this position include
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rodent biospecimens; the candidate should be able to work next to a fume hood for chemical extraction and/or next to analytical instruments and computers to acquire and/or analyze data. Overview The School
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and experience using geographic information systems software are also required. Knowledge of Git is a plus. The successful candidate must be willing to learn new methods as needed and have the ability
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to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele
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learn, work, and serve the public at Rutgers locations across New Jersey and around the world. Posting Summary Rutgers, The State University of New Jersey, is seeking a highly motivated Post Doctoral
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the ability to work independently as well as collaboratively within a diverse group and be willing to learn techniques and methodologies. Candidates must be highly motivated, creative and able