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: Postdoc positions renew yearly with an ideal total duration of 3 to 5 years. Appointment Start Date: Flexible (January-September 2026) Group or Departmental Website: http://hernandez-nunez-lab.com (link is
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Posting Summary Logo Posting Number RTF00037PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post Doctoral
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
with assorted campus experiences to draw on, we hope you will find a great place at Carolina. Connections working at The University of North Carolina at Chapel Hill More Jobs from This Employer https
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a novel multi-omics approach that integrates high-throughput imaging and machine learning methods with CRISPR/Cas9 screens and saturation mutagenesis to answer central questions about the
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or 2 years based on performance. Applications, including a CV, a statement of research interests, and three letters of reference, should be submitted through the application portal located at: https
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, the humanities as a force of change, and the margin as a place of radical possibility. Additional information about its themes and program may be found at https://arc-hum.princeton.edu/. We seek to hire fellows
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facilities. Lab website: https://www.unmc.edu/pathology/faculty/bios/ng.html The ideal candidate will have a strong background in cellular and molecular biology, malaria parasitology, demonstrated success as a
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About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
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include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a travel allowance and access to advanced
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at the intersection of educational data science, AI in education, and the learning sciences, with additional advisory support from faculty and researchers across learning sciences, computer science, machine learning