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Field
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datasets, metadata, and data from biochemical assays. The candidate will also play a key role in planning and acquiring new datasets through involvement in the design and analysis of human clinical studies
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skills in English. Proficiency in data analytics, visualization, and statistical analysis. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office
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ArcPro). Strong written, oral, and visual communication skills. Preferred Qualifications Knowledge and experience in: Inland and coastal floodplain/watershed hydrodynamics Flood frequency analysis and
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and climate policy, and be a skilled communicator with experience in policy analysis. Experience with visualization of energy modelling insights to varied audiences would be an advantage. A track record
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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single-cell RNA-seq data processing and analysis pipelines (such as Seurat, Scanpy, etc.) Proficiency in R or Python for statistical computing and visualization Familiarity with dimensionality reduction
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projects for the ARCH study, including cohort data synchronization, data and survey data cleaning and analysis, dataset creation and management, manuscript writings for peer-reviewed publications, and submit
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Medical Informatics Lab, affiliated with the Visual Informatics and Data Analytics (VIDA) group in the College of Computing and Digital Media. What You'll Do: Conduct data collection, preprocessing
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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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genomics/transcriptomics data Experience in large scale data analysis, data visualization and data integration Experience in the following topics will be considered an advantage: Analysis of transcriptomics