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datasets, spreadsheets, or structured documents. Assist with basic data analysis, such as descriptive statistics, simple comparisons, trend identification, or visualizations under faculty guidance
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bioinformatics analysis pipelines for processing RNA-seq, single-cell RNA-seq, genomics and proteomics data. Develop novel algorithms and integrated data visualization applications when existing software packages
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denoising techniques, analysis of visual and cognitive experiments, and/or related computational modeling work. For additional information on the position email kay@umn.edu. Duties and Responsibilities
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for Digital Health and Artificial Intelligence (CDHAI) at Johns Hopkins University (JHU) seeks a Research Data Analyst to provide data analysis and related activities for various types of research projects and
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-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
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data into solutions—protecting ecosystems and empowering communities worldwide. Expectations 1. Data Management & Analysis Develop, maintain, and optimize data pipelines for collecting, cleaning
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 19 days ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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, including data analysis tools, formulas, and productivity techniques 6. Performs other related duties as assigned Required Education & Experience: • Bachelor’s degree or equivalent experience • 2 years
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Change Mitigation, Cross Sectional Analysis, Cross Sector Collaboration, Cultural Humility, Data Analysis Tools, Data Analytics, Data Visualization, Diversity Sensitivity, Energy Sectors, Executive Summary