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DESCRIPTION Duke University and North Carolina State University (NC State) invite applications for a full-time Postdoc Associate to conduct research on causal inference and analytic methods for data integration
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record of scientific productivity. Previous experience in metabolomics, computational biology, and/or hematology-oncology is strongly preferred. Interested individuals should send a CV, a short summary of
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Department Information Research Services & Sponsored Programs Job Summary Postdoc position in the area of power engineering to work under the supervision of a professor, writing proposals, conducting
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14853, United States of America [map ] Subject Areas: Bioinformatics / Clinical , Computer Science , Mathematics , statistics Nutrition Data Science Public Health Medicine (more...) Epidemiology Salary
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
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 research enterprise and
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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications Education
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, United States of America [map ] Subject Areas: Human Centered Design Information Science Fiber Science / Textile Fashion Design Salary Range: $61,008 to $87,000 Appl Deadline: (posted 2025/07/11, listed until 2026/01/11
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Duties/Responsibilities: The postdoc will engage in projects related to generation of stem-cell derived neural populations
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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and