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exposure methods to enhance comprehension of material corrosion in hypersaline environments. Reliable test methodologies and statistical analysis techniques will be employed to assure conclusive
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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trajectories. Leveraging deep learning, generative models and cross-modal autoencoders and working with both structured and unstructured data, the goal of this project is to develop a statistical framework and a
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University of Louisville Department of Civil and Environmental Engineering | Louisville, Kentucky | United States | about 14 hours ago
: Relevant tasks include: 1) leveraging numerical models, statistics, and field monitoring to understand hydrologic processes, especially related to floods; 2) communicating research findings via scientific
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including top-level researchers in emotion, relationships, work, and culture, working with cutting edge data collection and statistical methods. ● excellent research facilities, conference/travel budget, and
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sequencing, qRT-PCR, western blotting, bioinformatics, ELISA, cell culture, statistics, and literature reviews. A working knowledge of these techniques is therefore desirable. We will compare subtypes, detect
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performance and green innovation. It also explores how these effects change when combined with environmental regulations and innovation incentives. The project will employ statistical analysis and econometric
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researchers to apply data science and AI techniques to environmental challenges. Training is provided in data science, AI and statistics; in ethics, governance, and responsible innovation principles related
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incentives. The project will employ statistical analysis and econometric modelling of panel data at the firm level to address the research questions. Data will be collected from various sources, including
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PhD Studentship: How Does Spatial Organisation Impact Host-microbiome Interactions in Human Airways?
on intensities of relevant stains. Second, they will write a Python code to pool the collected multimodal data and conduct statistical tests (e.g. PCA) to generate integrative insights into how size shapes host