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at prestigious international conferences. The PhD project is part of 15 GRAIL PhD projects Europe-wide out of which 2 will take place at the University of Bergen. More information about GRAIL can be found
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analysis) is a requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented general knowledge of the near-earth space environment
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requirement. A general knowledge of programming languages aimed at scientific data analysis and visualization is a requirement. Documented activity aimed at the calibration of gamma-ray detectors is an
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of the Institute include population health, clinical trial innovation, health informatics, artificial intelligence, therapeutic target discovery, and immersive visualization. Essential Functions: Methodologies in
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. This position reports to Steven Fransblow, BSA Chief Data & Technology Office. Minimum Qualifications: Recent Brandeis undergraduate (all majors encouraged to apply, including but not limited to politics
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 11 days ago
. Additionally, you will gain experience leveraging open-source software to provide data analysis/visualization solutions for a wide audience of users. Anticipated Appointment Start Date: 2026. Start date is
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while building competency in laboratory methodologies. Learning activities may include: Analyzing and visually presenting scientific data Contributing to the development and refinement of laboratory
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, with the ability to translate complex data into actionable insights. Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) for data manipulation, analysis, and visualization
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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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organizations by conducting relevant research and providing insightful analysis. Prepare and analyze BSA market research data in Excel by cleaning datasets, merging files, creating pivot tables and visualizations