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water. The work is carried out by building optimization models and collecting data according to principles of open science. The analyses include sensitivity analysis, scenario building and analysis, and
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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analysis and multi-omics data integration workflows using Python/R Integrate digital pathology data with omics data (e.g., MS-based proteomics, spatial proteomics) Develop and drive independent project ideas
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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conjugation for fluorescence dye labeling Proficient in data analysis and presentation Excellent communication skills (oral and written) along with a strong publication record. Additional Information
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in pediatric or related health sciences fields. Scientific Knowledge: Strong understanding of research design, statistical analysis, and data interpretation methods relevant to pediatric research
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purification, molecular biology, next generation sequencing technologies and data analysis. Laboratory skills with molecular biology, data collection, analysis, and interpretation. Track record of quality
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
to the applicant. However, our group can train a motivated candidate in computational analysis of sequencing data. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel Hill Carolina
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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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into the common data model. Conduct advanced statistical analyses and epidemiological studies on RWD. Collaborate with the Research Coordinators and Project Managers to define analysis plans and ensure data quality