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handling complex datasets, enjoys collaborating closely with others, and is motivated to contribute to a shared research project. Experience with quantitative data analysis, data management, and an interest
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against the space environment (including radiation), reliability assessment, Data Systems, Microelectronics and Flight Software domains. Candidates interested are encouraged to visit the ESA website: http
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Transformation and a dotted line to the SVP, Clinical Operations, this position requires a visionary leader with a deep understanding of ambulatory oncology care operations, planning, analysis and problem solving
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Ecole supérieure de physique et de chimie industrielles de la ville de Paris | Paris 15, le de France | France | 5 days ago
of signal analysis, especially for breakdown tests. In the framework of his work, the postdoc will mount a small test bench mimicking the real one, for testing the reliability of data acquisitions, specially
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, solutions to streamline and align existing systems, specialized record keeping, compliance assurance, and associated quality assurance to produce accurate, reliable, and current planning and assessment data
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collection of education and health records through utilization of a complex web- based data system, interfacing with partners in a highly professional manner, and maintaining reliability on CDC ADDM Network
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to ensure accurate and reliable data collection. • Collect biospecimens (e.g. blood, tissue, urine) including: processing, specimen handling and storage; obtain study laboratory samples and transport
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analysis and produce reports that meet the needs of research administration departments, while also developing and maintaining job integrations between Research Administration platforms and other
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operations across the university. The role regularly addresses issues with significant organizational impact, often involving complex, precedent-setting analysis and recommendations. Acting as the principal
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transmission of diagnostic data to cloud-based platforms for further analysis, visualization, and integration with digital maintenance workflows. Particular attention will be given to data security, integrity