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using a variety of tools. Education and Experience: Bachelors degree required; masters degree preferred in data science or closely related field. Work experience will be considered in cases where degree
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problems, statistical learning and machine learning (machine learning, deep learning) - Knowledge of associated software development tools and environments: Python, PyTorch, Scikit-learn, Jax, Julia
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applications (https://www.cbr.washington.edu/analysis) to perform statistical analyses relevant to fish, dam, water, and natural resource management. The Software Engineer will play a lead role in the
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, perform data analysis utilizing medical imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab
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Number: 151195855 Position Summary Research Computing supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment
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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
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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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world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a
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concerns Maintains the workshop by keeping it area clean and tidy. Cleans and lubricates machines, tools and equipment Manually handles, installs, positions, manipulates and moves material as required by
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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