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Field
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) and structural engineering performance in spent fuel Bridge the gap between theory and experiment by integrating microstructural and experimental data into computational models to validate predictive
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and policies regarding postdoctoral scholars at ASU, please see https://academicpersonnel.asu.edu/postdoc . The successful candidate will join a grant-funded project with ASU and Arizona Administrative
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: • Bioinformatics and computational biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine
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perform project planning, data interpretation, authorship of presentations and publications, lab management, and training of personnel. The PI is committed to supporting the candidate’s career
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and data will be lost. Posting Summary Logo Posting Number RTF00024PO21 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/8219 Business Title Post Doctoral
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Postdocs in Data-Driven Product Realization Reference number REF 2026-0393 Join us for an exciting postdoctoral position to shape the future of data-driven product realisation in close collaboration
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relationship to the environment, and mentoring in the Yale’s non-degree online environmental data science certificate program, https://environment.yale.edu/certificates/data (Link is external
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with mice, flow cytometry, and microscopy are encouraged to apply. Additionally, previous experience analyzing transcriptomic data is an advantage, as the dry lab (e.g., single cell RNA-sequencing
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Cardiotoxicity Risk Prediction Among Breast Cancer Survivors Using Multi-Site Real-World Data: https://www.fda.gov/about-fda/oncology-center-excellence/cardioonco-ai-ai-empowered-cardiotoxicity-risk
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Mathjobs.org | 18 days ago
Position Overview: Successful candidates will join Roy Lederman's research group, which is affiliated with the Department of Statistics and Data Science (S&DS) and the Quantitative Biology Institute