168 web-programmer-developer "https:" "https:" "https:" "U.S" PhD positions in United States
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studies, and biochemical interaction assays. Demonstrated success in developing innovative genome engineering strategies. Strong research management and project coordination skills, including rigorous data
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colleagues within the Division and throughout the University as appropriate to develop mutual research and training interests. This position will work on developing innovative therapies and rehabilitation
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REQUIREMENTS The College of Earth and Mineral Sciences, Energy Institute is seeking Part-Time Research Support Associate to support an NSF-funded project. The project focuses on developing modular, architecture
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data. The appointed Post-Doctoral Research Associate will lead the development and administration of surveys, derive appropriate theoretical and empirical approaches for analyzing survey data, and assist
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., and Satish Mahadevans, Ph.D. Research Assistants to support projects that streamline talent-market insight pipelines and develop agentic AI agent architectures. These roles offer hands-on experience in
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experiments; analyze and interpret data; maintain rigorous, reproducible records and workflows. Innovation: Develop and implement novel electrophysiological and complementary approaches as needed to answer
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verbal communication skills, and the ability to work independently and collaboratively. Experience in translational research and therapeutic target development is preferred. The successful candidate will
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Required License/Registration/Certifications Job Duties Support faculty-led data science and AI research projects Design and implement data preprocessing, fusion, and analysis pipelines Develop, train, and
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collaborative grant applications and awards Experience processing and sectioning brains, as well as associated histology Experience overseeing immunohistochemistry validation Experience developing workflows and
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projects focused on real-world data analytics, health outcomes modeling, and biomedical informatics. Develop and apply advanced statistical and machine-learning methodologies to address complex health