519 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" Fellowship positions in United States
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Field
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the persuasive capabilities of AI systems and the risks they pose to the information ecosystem. Core responsibilities include: Advancing research on the risks of AI-driven persuasion within the information
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career development. For more information about Dr. You’s lab, please visit here. As a successful candidate, you will: Lead independent and collaborative projects investigating the molecular and cellular
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sustained research trajectory in addiction health services research and policy evaluation. Responsibilities Design and execute advanced quantitative analyses using large secondary administrative health data
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an in depth knowledge of a specialized field, process, or discipline and may involve organizing and implementing complex research plans, the development of methods of research, testing and data collection
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candidates for a Postdoctoral fellow. This position is available to individuals with research interests and expertise in modeling and data analyses of hydrologic processes. Successful candidates will hold a
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Experience gathering and/or analyzing data Ability to communicate effectively in both written and oral formats Ability to work in a positive and productive manner with a variety of diverse staff Ability
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institutional support, participant recruitment, data collection, and analysis. Prepare and submit research manuscripts for publication in peer-reviewed journals. Present research findings at conferences and
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Responsibilities Perform CAR T cell generation and functional assays under guidance of senior lab members Conduct flow cytometry–based immune phenotyping and cytokine analyses Analyze and interpret data from
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | about 2 hours ago
on clinical data for device performance evaluation, durability issues in implants, and insufficient tools for predicting clinical outcomes. To fill these gaps, the program develops in vitro, in vivo, and
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. Analyze and interpret data using appropriate computational/statistical approaches; maintain reproducible workflows and clear documentation. Write manuscripts and present findings; contribute to grants