271 algorithm-development "https:" "Simons Foundation" positions at Johns Hopkins University
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Employer https://main.hercjobs.org/jobs/22209340/director-of-development-jhpiego Return to Search Results
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structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solution for application development tasks. Assist with documentation of code and
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into functional and technical descriptions for use by programmers and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and
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presence in Washington, D.C. Connections working at Johns Hopkins University More Jobs from This Employer https://main.hercjobs.org/jobs/22172979/research-software-engineer-x28-data-science-and-ai-institute
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, 7 Ph.D. students, and various undergraduate students supported by grants from the National Science Foundation, NASA, the John Templeton Foundation, the Simons Foundation, and the Italian Ministry of
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for characterization of CT images. Machine and Deep learning: Develop and implement machine learning and deep learning algorithms to built detection and prediction models for CT images Performance Evaluation: Conduct
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algorithm development and system performance. Technical Focus Areas Computer Vision and Model Development: Design and train deep learning models for insect classification and morphological recognition
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fields. Individuals in this position will perform technical work supporting the collaboration's scientific research. Research Title: Analyst/Programmer for Mass Spectral Reference Data (U.S. Citizens
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studies. The Research Data Analyst will contribute to ongoing development, maintenance, and use of a research data pipeline that collects and analyzes data. Specific Duties & Responsibilities Collect data
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. - Contribute to the development of risk-prediction tools, biomarker panels, and precision-medicine algorithms. - Participate in NIH-funded translational studies involving spatial multi-omics, proteomics