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administration, user support, applications engineering, and data management. HPRC has deployed and operated several large-scale scientific computing systems and a couple of which were among the top150 largest
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of education and experience 4 to 6 years of HRIS experience in a large-scale, multi-entity environment 4 to 6 years of leadership experience with a proven ability to build team buy-in, foster trust
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: ● A successful record of mentoring PhD students, postdoctoral fellows, and early-career faculty. ● Experience developing and leading multi-disciplinary research teams, large-scale research
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 20 hours ago
. Working Title Teacher at DC Virgo Preparatory Academy, UNCW Lab School (Pooled Position) External Link to Posting https://jobs.uncw.edu/postings/38213 Vacancy Number E1470 Position Number 1549 Location
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, rigorously testing them in the field, and working with local partners to scale what works. Our work spans faculty affiliates across five Georgetown schools, operational and analytical staff in Washington, DC
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automation using tools such as Ansible and/or Puppet. Plan and execute system upgrades, migrations, and large-scale infrastructure projects with minimal guidance. Administer and troubleshoot storage systems
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- Required Skills & Competencies: Workforce & Training Program Development Demonstrated ability to design, implement, and scale skills-based training programs aligned with industry-defined competencies
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them for their research career in academia or elsewhere. As a postdoc, the position can perform mostly independent research, collaborate on a multi-scholar research initiative, or even may have lead
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to antimicrobial resistance and persistence during infection. The successful candidate will leverage large-scale longitudinal clinical cohorts and bacterial isolate collections obtained through collaborations
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informed neural networks, explainable AI, hierarchical reinforcement learning and multi-scale optimization This broad set of interest areas reflects our openness to diverse expertise that can strengthen and