85 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof" positions at Columbia University
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the entry, management, and reconciliation of financial data within Columbia University?s internal budget system; ensures data integrity across multiple platforms to enable financial reporting and informed
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research field. Must possess critical thinking and analytical skills, customer service orientation, with the ability to interact and collaborate positively, constructively and effectively with multiple
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acquired at multiple resolutions (tissue-level, single-cell/nucleus, and spatial transcriptomic data), requiring complex integrative analyses. The successful candidate will lead the analysis of a large
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maintenance items. Participate in providing patient education through multiple avenues, inclusive of in-person, by telephone, or video Execute delegation protocols Assist with medication management (e.g
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and handling of work queue inventory for multiple rates of collection and potential backlog, to make data-driven recommendations to leadership. Collaborate with EpicTogether to resolve logic issues
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and handling of work queue inventory for multiple rates of collection, and potential backlog, to make data-driven recommendations to leadership. Collaborate with EpicTogether to resolve logic issues
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matrix for work is adhered to in alignment with established service level agreements and departmental needs. Ensures proper management and handling of work queue inventory for multiple rates of collection
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and handling of work queue inventory for multiple rates of collection, and potential backlog, to make data-driven recommendations to leadership. Collaborate with EpicTogether to resolve logic issues
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with established service level agreements and departmental needs. Ensures proper management and handling of work queue inventory for multiple rates of collection, and potential backlog to make data
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, multiple sclerosis, epilepsy, and other neuroinflammatory and aging-associated conditions. The successful candidate will contribute to the design and optimization of serologic assays/platforms and the