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Research Fields Chemistry, process technology, engineering, toxicology, life cycle analysis The Marie Skłodowska Curie Doctoral Network “DyeAnotherWay” is inviting applications for a 36 month full time fixed
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and reliability of web applications. Perform data collection and data analysis to investigate the performance of large-scale RFID deployments. Responsible for creating reports for data presentation and
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thermal signal processing and analysis. The role involves quantifying the presence, extent, and severity of under-coating corrosion, evaluating detection limits, and establishing practical guidelines
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with Western blot analysis is considered an advantage. Bioinformatics skills, including basic data processing, statistical analysis, or work with high-throughput or sequencing data, are highly welcome
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both fixed and mobile sensors, the candidate will design methods to improve turbulence models, reduce uncertainties, and deliver reliable real-time forecasts. The ambition is clear: support better
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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data infrastructure function reliably, meet performance expectations, and continuously improve to deliver maximum value. The position requires expertise in MLOps practices, data pipeline operations
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infrastructure reliability is essential to delivering a safer, more resilient and more sustainable railway. This PhD project will establish the first integrated national-scale analysis of hydro-vegetation risk
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at enhancing gear system performance and reliability. Your role involves diving into diverse areas – from evaluating gear material performance to innovating advanced testing methodologies and stress analysis
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for the preparation and analysis of various samples (e.g., water, soil, manure) using Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Gas Chromatography (GC), and High-Performance Liquid Chromatography (HPLC