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assist the FP&A team with data analysis, forecasting and compliance activities, contributing to sound financial management and service improvement. The role is supported by a fully funded training package
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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biology techniques and routine laboratory workflows. Prior experience in microscopy, image analysis (Fiji, CellProfiler, MorphoGraphX), and tissue preparation is essential. Hands-on computational analysis
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modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
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. The post holder will contribute to the development and validation of multi-scale finite-element analysis tools to predict the progressive damage evolution in composite materials, subject to a variety of
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for a full-time, on-site PhD position in machine learning, forecasting and time series analysis. Reykjavik University, Department of Engineering. Duration: 3 years. Start date: Negotiable. Reykjavik
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the absorption of other MGEs, thereby restricting gene flow due to altered capsule production. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5100-OLAREN-007/Default.aspx Requirements Research
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to an advanced Laboratory Directed Research and Development (LDRD) project, "Machine Learning Steered EXAFS Fitting for Autonomous XAS Analysis," aimed at revolutionizing real-time analysis of X-ray Absorption
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and medicine. The key objective is to support efforts to advance biomedical research using computational methods. For more details, please view https://www.ntu.edu.sg/medicine/research/research
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separate CTCs from blood. This will include, cell culturing, microfluidic and flow cytometer cell sorting and operation of mass spectrometers (MS), as well as multi-omics data integration and analysis