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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud
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their impact on gene expression. Contribute to large-scale modeling of engineered traits to predict performance and optimize design. Required Qualifications: PhD in the field of genomics, evolution, population
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translational research activities and represent PSIX in collaborations and conferences. This position includes mentorship and professional development opportunities, as well as opportunities to contribute
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. Candidates should submit a cover letter, CV, research statement, teaching portfolio, and writing sample via Interfolio at https://apply.interfolio.com/175940 . We are seeking candidates who can demonstrate
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the Computing and AI Division at Los Alamos National Laboratory is seeking highly motivated Postdoctoral Research Associates to drive the research and development of novel sparse neural networks. This position is
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entertainment district, art galleries, state archives, museums, and historical sites readily accessible. Connections working at Alabama State University More Jobs from This Employer https://main.hercjobs.org/jobs
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WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Analyzing data. Writing and revising
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 20 days ago
working at The University of North Carolina at Chapel Hill More Jobs from This Employer https://main.hercjobs.org/jobs/22087091/post-doc-research-associate Return to Search Results
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Biomedical Data Science Postdoc Appointment Term: 2 years (can be exended) Appointment Start Date: December 1, 2025 (Flexible) Group or Departmental Website: http://med.stanford.edu/summerhanlab.html (link is
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. Professional demeanor. Ability to multi-task and establish effective working relationships. Additional information about Texas A&M AgriLife Research is available at: Texas A&M AgriLife Research: https