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online portfolio is appreciated. A list of references should be submitted along with the resume and the contact information of no less than three reviewers. Contact Information Evie Santana-Nola Contact
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names and contact information of three references. Harvard University is committed to equal opportunity and non-discrimination . We seek talent from all parts of society and the world, and we strive
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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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, data science, civil engineering, or a related field, with research expertise in geospatial artificial intelligence, human dynamics, and/or urban informatics. Candidates will need to have completed
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surrounding building such an experimental toolkit; from the ultrafast optics to the spatial resolution and statistical data analysis. Basic Qualifications PhD in Physics, Chemistry, Biology, Mathematics 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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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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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | 1 day ago
understandable and accessible science-based information about the products overseen by CDRH. CDRH facilitates medical device innovation by advancing regulatory science, providing industry with predictable
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Center for Devices and Radiological Health (CDRH) | Silver Spring, Maryland | United States | 1 day 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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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