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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
, tables, etc…); processing, analysis, and display. Experience in engineering and graph database work. Experience programming in Python and deploy Jupyter notebooks. Experience working independently and
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data into solutions—protecting ecosystems and empowering communities worldwide. Expectations 1. Data Management & Analysis Develop, maintain, and optimize data pipelines for collecting, cleaning
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the laboratory's established workflows. Support data harmonization and cross-cohort analyses for large consortia datasets (ADNI, ROSMAP, BHII internal cohorts). Contribute to the development of new analysis
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in advancing the College of Medicine's ability to use data as a strategic asset. The Director provides strategic and operational leadership for the integration, harmonization, and advanced analysis
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements
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to maintain a consistent, professional style, adhering to brand guidelines. Correct grammatical errors, refine sentence structures, and harmonize writing style for a seamless, polished final product aligning
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analysis and association studies with molecular and clinical variables. · Integration and harmonization of large-scale omics datasets from multiple sources. · Identification of molecular signatures and
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January 5, 2026 to receive full consideration. We are not accepting applications for this job through MathJobs.Org right now. Please apply at https://norwich.interviewexchange.com/candapply.jsp?JOBID=193820
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, and compliance requirements. Advise investigators and project teams on cohort discovery, longitudinal analysis, and real-world data use. Enable AI- and ML-driven research by ensuring datasets
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 9 days ago
—including translation efficiency prediction models, RNA secondary structure analysis, codon-pair and harmonization algorithms, and immunogenicity risk prediction tools—to help guide experimental design and