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- Zintellect
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Field
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. Experience with GPU-based training and high-performance computing. Interest in translating methodological contributions into high-impact medical AI venues (e.g., Nature Medicine, Nature Machine Intelligence
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that combine 3D perception, visual representation learning, language understanding, and action generation for intelligent robotic systems. Collect and analyze data, including periodical/literature search and
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program Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a
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National Laboratory (ORNL). Major Duties/Responsibilities: Interacting with a team of experts at ORNL on projects evaluating the U.S. Department of Energy Weatherization Assistance Program and its efficacy
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uses computational and experimental methods to determine mechanism-based biomarkers for exposure and risk stratification to advance the understanding of cancer causation and tumorigenesis. The Zhivagui
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agency in the age of intelligent machines. Program Overview The fellowship will include: Research: Develop and pursue a research project at the intersection of AI, democracy, and humanistic inquiry
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meetings Ensure compliance with environment, safety, health, and quality program requirements Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact
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hypoperfusion in the context of aging and Alzheimer’s disease. Our laboratory is located in center city Philadelphia in the New College Building. Our research program is focused on neuron-glial interactions, with
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others. Ability to receive and respond appropriately to constructive criticism. Ability to communicate effectively verbally and in writing. Knowledge of standard computer software such as Microsoft Office
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to work independently once given a project. Knowledge of word processing, spreadsheet, and database applications. Knowledge of probability theory, regression, and analysis of variance. Ability to multi-task