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Field
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sessions and professional learning opportunities for CETE staff and project partners. Engage in national professional networks related to AI in education and training. Required Experience: Demonstrated
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studies, and user research Perform sequence analysis, network analysis, and pattern mining to identify team-level interaction motifs Write and prepare papers for submission to peer-reviewed journals and
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oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover
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Posting Summary Logo Posting Number RTF00059PO26 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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Posting Summary Logo Posting Number RTF00059PO26 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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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus
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of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus
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, and other academic and non-academic organizations, thus expanding opportunities for networking and mentorship. Together, the consortium is building transformative AI tools to accelerate biodiversity
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Appointment Term: 1-2 years depending on performance and availability of funding Appointment Start Date: Summer/ as soon as possible Group or Departmental Website: https://sparklab.stanford.edu/ (link is
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
insights through iterative, hypothesis-driven computational analysis. 2) Characterizing the landscape of structural mutations—including intragenic rearrangements (IGRs)—across cancer types and modeling