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The Institute for the Study of Employee Ownership and Profit Sharing within the School of Management and Labor Relations seeks a highly motivated individual to conduct data analysis of the National Longitudinal
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and processing of results Where to apply Website https://www.unimore.it/it Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility
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for Static and Dynamic Analysis of Advanced Structures Where to apply Website https://careers.polito.it/ Requirements Additional Information Eligibility criteria Eligible destination country/ies for fellows
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27 Mar 2026 Job Information Organisation/Company Universitat de Barcelona Department Organisation profile Research Field Chemistry Researcher Profile Recognised Researcher (R2) Positions Postdoc
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materials science by integrating physics-based simulations with data-driven analysis of cutting-edge synchrotron radiation facility data. By combining experimental data with physical models, we establish
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collaborative team on multiple projects concurrently. Duties will include specimen collection, processing and management, data analysis and laboratory management. Key Responsibilities Specimen processing and
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Position Information Posting Number S06659P Position Title Senior Financial Analyst – Financial Planning & Analysis (FP&A) Department Vice President for Research Location Arlington Position Status
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and apply dimensionality reduction techniques (e.g., UMAP, PCA) for high-dimensional data analysis. Execute Analytical Workflows and Ensure Data Integrity: Run and maintain established bioinformatics
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
orbit (LEO) sensors Integrate and test the impact of UV AOD observations from hyperspectral sensors in LEO and GEO orbits on the aerosol analysis and forecast utilizing the JCSDA-Joint Effort for Data
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for the analysis of hyperspectral imaging data applied to pictorial layers, based on coupling physical radiative transfer models (two-flux and four-flux approaches) with machine learning methods. The researcher will