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-based methods such as RNA-Seq and ChIP-Seq is expected, Experience in microscopy, scRNA-Seq, FACS, and CRISPR-based cell line engineering is desirable but not required; candidates without prior experience
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Time Posting Number 26FA0706 Posting Open Date 08/10/2026 Posting Close Date 08/21/2026 Qualifications Minimum Education and Experience PhD in Materials Science and Engineering or related fields
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Skip to main content Recruit Home Open Recruitments Chemical and Biomolecular Engineering: Postdoctoral Employee - in vivo cell engineering (JPF11226) Chemical and Biomolecular Engineering
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
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6 Jul 2026 Job Information Organisation/Company Senckenberg Institute for Plant Form and Function Research Field Biological sciences Technology Engineering Computer science Information science
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political economy of strategic technology competition. Experience of archival research. Track record of public-facing writing in essays, long-form journalism or comparable venues. Experience contributing
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cross-cutting justification mechanisms — “national security” expansionism, “economic security” as a new paradigm, “strategic autonomy” and resilience, technology competition as existential framing
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The Opportunity The University of Central Florida's (UCF) department of Industrial Engineering and Management Systems (IEMS) invites applications for two Postdoctoral Scholars to support the
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systems and the deployment of innate immune strategies that enable survival during phage attack. In addition, another major focus of our research is protein engineering and the development of new molecular
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Ref.: 536424 Work type: Full-time Department: Department of Civil Engineering (14100) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Intelligent Structural