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the smooth and successful operation and sustainable development of the Department. Reporting directly to the Dean of Faculty of Construction and Environment, the appointee will be required to: (a) provide
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analysis and machine learning and experience in the analysis of diverse data types (clinical, genetic, imaging, digital, blood biomarker). Cultural and language competency and/or experience working with one
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of urban challenges is highly preferred Extensive knowledge of events operations and process design Ability to drive towards big picture goals while maintaining extraordinary attention to detail Strong
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, sample and reagent management, data organization, and computational processing of experimental datasets. In addition, this role helps develop and maintain workflows for data handling, storage, analysis
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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Position Information Posting Number: 20255710V Position Title: Program Assistant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
, imaging, biomarkers distribution in blood or synovial fluid) as well as histological evaluation of multiple tissues (cartilage, bone, synovium, muscles), protein/gene expression analyses in isolated tissues
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, and stakeholder engagement. The position ensures smooth execution of meetings, visits, and events while promoting a positive image of DMPO, National Security Sciences Directorate (NSSD), ORNL, and
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the area of accretion onto compact objects. Candidates with interest and experience in technical expertize related to coding and maintaining pipelines for optical imaging / photometric data analysis
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range of people. Attention to detail and organizational skills are critical, as is ability to work independently and as part of a team. Must have experience with computer applications such as MS Excel, MS
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and experience in technical expertize related to coding and maintaining pipelines for optical imaging / photometric data analysis, are strongly encouraged to apply. Interest in the study of accreting