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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 18 hours ago
science databases. This data analysis may be performed using various programming languages such as, SAS, R, or Python. As part of this opportunity, you will be able to engage with a multi-disciplinary
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include MATLAB, Labview, Python and/or C++. Requirements: PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability
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to spatter landing sites Analyzing data from experiments using Python Train and validate machine learning model for processing data Writing/submitting manuscript of work to academic journals for publication
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(MBSE). Knowledge of digital engineering concepts, tools, and transformation initiatives. Skilled in utilizing Python. Minimum Qualifications Ph.D. in Systems Engineering, Computer Science, Industrial
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mechanical and manufacturing research, or applied engineering research Familiarity with Excel, MATLAB, or Python for data analysis (preferred but not required) Additional Information This position provides
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U.S. Citizen Preferred Qualifications - PhD in Physics or a related field - Experience is required in two or more of the following areas: - frequency stabilization of laser systems - Python programming
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to spatter landing sites Analyzing data from experiments using Python Train and validate machine learning model for processing data Writing/submitting manuscript of work to academic journals for publication
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Python and AI-enabled methods to extract, classify, and summarize insights from unstructured data, including text, images, and other digital content. This work will help BSA detect trends, measure impact
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). Previous experience processing imaging data from unmanned aerial vehicle (UAV) is desired. Expertise with R or Python will be valued. Previous experience conducting agronomic field experiments is preferred
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approaches such as RNA-seq and ChIP-qPCR/seq. • Experience with fluorescence microscopy. • Proficiency in statistical analysis and/or coding (e.g., Python, R) for data analysis. • A willingness to learn and