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, Division and Morphogenesis team, the candidate will work closely with biologists and physicists to develop approaches integrating spatial transcriptomics, cell dynamics, and systemic signals to understand
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, regulation of neuronal signaling and anti-cancer immunity. Using a combination of cell biology, structural biology and chemical genetic approaches, we have elucidated fundamental mechanisms underlying
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of the lab is to identify the novel molecular signaling pathways and regulation in glial cell development and associated disorders using molecular, cellular, physiological, and neurobehavioral approaches. Job
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
computational and experimental approaches to study the signaling pathways that drive cancer cell growth and resistance to therapy. Our research primarily focuses on gastrointestinal cancers, including pancreatic
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Post Doc Res Assoc Bookmark this Posting Print Preview | Apply for this Job Announcement Details Open
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] OR IGMM [mounia.lagha@igmm.cnrs.fr] with "HFSP Post doc application" in the subject line]. Applicants wishing to apply to both labs may submit a single application to either institute and indicate “for dual
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Area of research: Scientific / postdoctoral posts Job description: Researcher - Engineering & Physics for Biomedical Innovations (f/m/x) 102788 Full time 39 hrs./week Neuherberg near Munich
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: Postdoctoral Fellow/Trainee Position #: 00652554 – Requisition #:37420 Job Summary: Post-doctoral fellow position in the Kohler laboratory, working within the Cell Therapy Research Group at the University
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Post Docs - Regular Salaried Payroll Designation PeopleSoft Seniority Unit Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Ph.D
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understanding of their molecular mechanisms remains incomplete. This project, funded by the LEO Foundation, aims to systematically characterize how skin cells respond to inflammatory signals. By integrating