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Field
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degree in the natural/life sciences or human medicine and practical experience in healthcare/science management, especially scientific project management. Experience in data analysis and visualization is
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Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
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software delivery f) big data visualization g) cloud computing h) web application development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis
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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 Python Demonstrated data analysis and visualization expertise Experience working in high-performance computing environments Familiarity with data analysis and visualization tools Preferred
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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