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Posting Details Position Information Job Title Postdoctoral Scholar Position Number PDS-ENGR-08-25 Vacancy Open to All Candidates Department AAH CET Engineering Department Homepage https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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agreement and within the constraints of available funding. *In this context, you might be expected to generate new research ideas and lead development of new research proposals. *In this position, you will
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for therapeutic development. Perform high-throughput screening of immune-modulating compounds and assess their effects. Collaborate with interdisciplinary teams, including clinicians, bioengineers, and
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Initiative at Cornell University invites applications for a Postdoctoral Researcher to support research and program development at the intersection of AI, society, and global communities. The position is based
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development, as well as biomarkers that can be translated to the clinic. For more information: https://www.bcm.edu/people-search/pawel-stankiewicz-31243 Job Duties Designs and conducts logical scientific
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital
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community. More information about FunInBio can be found here: https://reporter.nih.gov/project-details/11144035 Job Duties Develops and conducts a curriculum tailored to training biologists in bioinformatics
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related field prior to the start date. Responsibilities for both positions will include collaborating on the development of research protocols, data collection and analysis, budget and supply management
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for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project