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associations between traits of interest and genotype data; 3) analysis of multi-environment trials; 4) genomic predictions of complex traits; 5) phenomics pipelines to enhance breeding. Applicants should have a
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The University of North Carolina at Greensboro | Greensboro, North Carolina | United States | 9 days ago
analyzing and testing system updates, implementing changes, creating and maintaining documentation, conducting research, and performing data analysis. The role requires close collaboration with the University
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analysis principles, including operating and capital budgeting in a large, complex organization. ? Understanding of technology/IT financial concepts such as total cost of ownership, capital vs. operating
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drug action in complex cancer systems, we look forward to receiving your application. Where to apply Website https://academicpositions.com/ad/university-of-basel/2025/internship-opportunit… Requirements
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evaluation studies in end-of-life care. Duties and Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis
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Statistical Analysis Plan guidance (APT-SAP)’ project (https://sheffield.ac.uk/ctru/current-trials/apt-sap ). Provide high-quality statistical advice and support to multidisciplinary research projects within
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, communication, and strategic planning skills with the ability to collaborate effectively across diverse operational units and present complex information clearly to senior executives and governing bodies
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stakeholders. Produce annual and longitudinal workforce reports. Senior HR Data Analyst additional responsibilities: Lead complex data analysis initiatives including forecasting, modeling, and long-term trend
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and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective
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assistance to faculty and research staff in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, proteomic