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Field
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analysis and machine learning techniques Ability to support non-bioinformaticians and deliver training in WGS data analysis. Skills in data management, visualization, and statistical analysis. Proven
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with: Experience with web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API
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electromagnetic radiation with molecules. Fluorescent molecules are among the most often used visualization modalities. The research group Fluorescent Probes led by Dr. Peter Šebej aim to combine molecular design
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. Responsibilities* Running a laboratory project of his/her own- Independently develop and manage research experiments, determining the most suitable methods to be used. Interpret and perform complex data analysis
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identifying, analyzing, interpreting, and visualizing trends and patterns in complex data sets. Gaining knowledge of state-of-the-art statistical, analytical, and visualization methods and techniques through
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Python and R programming for statistical modeling, data visualization, and integration of large-scale genomics datasets Participate in the design of strategic data acquisition plans to support ongoing
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National Institutes of Health (NIH) | National Institute of Technology, Tamil Nadu | India | about 1 month ago
. or Ph.D. (or M.D., Ph.D.) in a relevant life science discipline Experience analyzing next-generation sequencing and/or GWAS datasets Experience in data visualization Knowledge and experience in
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Mathjobs.org | about 1 month ago
scientific applications * Researching digital and post-digital computer architectures for science * Developing and advancing extreme-scale scientific data management, analysis, and visualization * Developing
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scientific applications * Researching digital and post-digital computer architectures for science * Developing and advancing extreme-scale scientific data management, analysis, and visualization * Developing
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of multiple dataset) with a strong focus on single-cell RNA and ATAC sequencing and spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly