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an exciting opportunity to contribute to meaningful research projects, collaborate with a dynamic team of scholars, and help shape the future of science education. The successful candidate will contribute
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Appointment Dates: July 1, 2026, to June 30, 2027 Proposed Compensation: $68,500 or commensurate with experience. Email/Website: [email protected] , https://www.reilly-lab.com(Link is external) , https
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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fundamental biological processes, including cell–cell communication, pathogen recognition, and receptor-mediated signaling. Emerging evidence suggests that these newly identified surface molecules form
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writing will have opportunities to do so. A Postdoctoral Associate: ● holds a PhD or equivalent degree; ● develops skills by participating in scholarly projects that are actively mentored by a member of the
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available in Yale’s Benefits Summary . Website https://shanshanliulab.com Contact Shanshan Liu, Ph.D., Assistant Professor, Department of Cell Biology, Yale School of Medicine; [email protected] Position
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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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. The Postdoctoral Associate will have the opportunity to shape an emerging research direction that integrates fundamental RNA biology with translational cancer research. The laboratory is embedded within the Stem
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). The initial position will be for one year, with the possibility of renewal based on job performance and availability of support. Applicants must possess a PhD in Mathematics, Computer Science, Physics
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. The Postdoctoral Associate will work under the Principal Investigators (Constance Yowell, Sasha Goldman, and Christine Bolzan) and alongside external collaborators with substantial latitude to shape the analytic