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Computation (MiC) Section at The Oak Ridge National Laboratory (ORNL) invites outstanding candidates to apply for a staff position in the Data Analysis and Machine Learning Group. This group focuses
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understand the role that data plays in solving policy and organizational issues. Proficiency in data visualization and statistical analysis tools Ability to locate, synthesize, and apply current research and
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/strategies. Develop well documented scripts for data matching, cleaning, and reduction. Develop reports, data visualization and dashboards for dissemination of analysis findings. Other duties as assigned
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California State University, Northridge | Northridge, California | United States | about 22 hours ago
plus. Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making. Demonstrated experience designing and implementing
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of Cambridge. The successful candidate will contribute to designing and organising distributed data systems and data analysis pipelines, and will work on a research project funded by the Wellcome Trust and the
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University of California Agriculture and Natural Resources | Oakland, California | United States | 2 months ago
programming. Experience conducting spatial analysis and geocoding using ArcGIS or other geospatial software. Demonstratable skill and experience with data visualization and presenting data in accessible formats
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and analysis, involving both qualitative and quantitative information as part of the Operational Excellence & Strategy team. They will develop financial and other models using Excel and other tools
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to develop insights, make well informed decisions and produce improved results and outcomes with oversight. Responsibilities Responsibilities Support the Operational Excellence team with data analysis and
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of extracellular vesicles Experience in handling medical/clinical samples Experience in protein and RNA analysis Experience in data analysis and data visualization Experience in COMSOL and Python programming We
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) Preparation of questionnaires and other data collection protocols visualization of geospatial data; d) Analysis of quantitative data; e) Participate in literature reviews; f) Participate in