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these insights to improve patient care and reduce false alarms in bedside monitoring. The ideal candidate will leverage their experience with complex data analysis, in particular time-series data analysis
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, and analysis of engineering tests for advanced digital agriculture technologies. You will lead moderately complex testing efforts across mechanical, hydraulic, electrical, and software systems within
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Assistant to work on a pioneering project on
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for our patients, families and employees. Job Duties Perform critical and complex billing functions that require analysis, evaluation, and a thorough understanding of the accounts receivable system. Daily
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) four years of related research experience. Experience in complex data management and analysis in a biomedical research setting. Certifications/Licenses Required Knowledge, Skills, and Abilities
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funding requests based on rigorous cost-benefit and risk-based analysis. Prepare detailed reports and presentations on maintenance planning, MUDSUP progress, and budgetary status for management. Communicate
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theory and econometric analysis. We are particularly interested in individuals whose work addresses substantive economic questions—such as causal inference in high-dimensional settings, algorithmic
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work includes https://doi.org/10.1101/2025.0... and https://doi.org/10.64898/2025.... Profile You have: A PhD in structural biology, cell biology, biophysics, bioengineering, or a related
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. (Required) Experience in research, federal regulation compliance, complex contracts, risk management and litigation processes. (Preferred) Experience in employment law and higher education law. (Preferred
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Dipartimento di Scienze Biomediche Sperimentali e Cliniche "Mario Serio" - Università degli Studi di Firenze | Italy | 16 days ago
• Stem cell analysis in cancer • 2D and 2D complex in vitro cell and organoid cultures • Spatial and Liquid biopsy processing and analysis • Cell engineering • Bioinformatics and data analysis Where