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Field
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systems, multi-function radar, AI/ML algorithms rely on high performance digital signal processing and real-time computing to provide high-fidelity results in an actionable timeframe. The ARRC intends
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Applied Machine Learning: Knowledge of integrating machine learning models and algorithms into applications. • A knowledge of applied computer science and AI in software/app development and rapid prototype
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collection methods for external data (e.g. web scraping) to collect data for use in modelling and analysis. Develop analytic plans, engineer supporting algorithms, write new functions or applications in
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-modal data. * Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. * Conduct exploratory data analysis, hypothesis testing, and develop data
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machine learning algorithms, conducting computationally intensive statistical analyses, summarizing research findings, and editing research papers. In addition to working closely with faculty, senior
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with graduate students, postdocs, and senior researchers. They will be well integrated into the lab's research and be expected to understand the methods and algorithms in use by or being developed by
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of non-interventional research programs for the SCCC Myeloma Institute, ensuring adherence to institutional, state, and federal guidelines. Devises new algorithms and pipelines to enhance research
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
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criteria on which images to further analyze. For included images, correctly apply algorithm according to techniques learned at the University of Washington with ongoing support as needed. Work closely with
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code