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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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, mechanical design, technical drawings, manual skills, mathematics, and computer programming to produce high-quality components in limited production runs, advanced prototypes, qualified technicians and
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imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in the areas
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Computer Applications: Version control (e.g., Git); data management tools; basic image processing/segmentation tools as used in the lab, R studio; 3D visualization/modeling software as applicable Preferred
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Associate/Assistant in Data Analytics to develop analytics and AI tools for information retrieval, analysis, and action
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mostly at NIST’s Beamline for Materials Measurements with the intent of develpoing methods to leverage machine learning and artifical intelligence tools to enhance and automate beamline operations. Some
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experiments (wet lab) and data analysis with a focus on either aspect of the work. Proposals describing research that leads to new tools and/or methods for improving confidence in microbial measurement
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and building maintenance Working knowledge of math, including fractions and decimals Considerable skills in the use of hand and power tools related to the carpentry trade Demonstrated ability to follow
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workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform