125 algorithm-"Multiple"-"Prof"-"U" "NTNU Norwegian University of Science and Technology" positions at Virginia Tech
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procedures. - Proficiency in financial management software and tools. - Strong analytical and problem-solving skills. - Exceptional attention to detail and ability to manage multiple tasks simultaneously
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to obtain it within 6 months. Must be detail, action, solution, and results oriented, as well as dedicated to continuous improvement. The successful candidate must have the ability to handle multiple
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and maintains systems in accordance with university, state, and federal laws, policies, and regulations. This position works on multiple projects simultaneously while independently prioritizing tasks
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multiple and varied commodities and services. Oversees the contracts system, which tracks contract expiration dates, renewal periods, rebates, modifications and terminations of those contracts. Responsible
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management with attention to detail - Ability to work both independently and as part of a multidisciplinary team - Demonstrated ability and desire to succeed in a fast-paced research environment with multiple
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and communication skills. • Ability to work independently and as part of a research team. • Attention to detail and ability to manage multiple projects simultaneously. Preferred Qualifications • Degree
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for the Small Animal Department Required Qualifications Experience providing administrative support; high level of organization and capable to prioritize work, as well as perform multiple tasks simultaneously
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to data and operational processes. *Ensure data integrity across multiple systems like Slate, Banner, Microstrategy, and the University Data Commons. *Maintain and support a quality assurance process as it
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multiple priorities, tasks, and deadlines simultaneously • Experience working with budgets or other financial-related materials • Proficiency in office suite tools such as word processing, spreadsheets, and
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Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine