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development, dosimetry, treatment planning, quality assurance, image-based treatment assessment, AI, machine learning, deep learning, and radiomics to improve clinical efficiency and workflow as
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Science Analysts will develop, test, and validate existing machine learning algorithms, train new algorithms, lead ETL efforts, and partner with other team members and vendors to connect the algorithm
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, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and generate evidence on innovative approaches and policy
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at the intersection of machine learning (ML)/artificial intelligence (AI), and healthcare. They will develop innovative AI/ML methodologies to address key challenges in population/family health and precision medicine
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Department BSD RAO - Operations About the Department The Tian Lab, within the Department of Radiation and Cellular Oncology, develops novel deep learning-based technologies with direct translational
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qualifications include familiarity with Quatrics Multivariate statistics, modeling, and/or one or more computational approaches (e.g., machine learning, computerized text analysis, agent-based modeling) Experience
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child development, professional development, and adult learning literature, as well as TMW Initiative research findings into curriculum content. Build curriculum content including computer-based
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, population health, gene-environment interactions with a strong focus on quantitative precision health methods including predictive analytics, machine learning/artificial intelligence, digital health or genomic
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interpersonal style. Motivated to learn challenging new skills. Experience contributing to research manuscripts, reports, or publications. Ability to work autonomously. Application Documents Resume (required
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of engagement in graduate programs. Working directly with the faculty and staff in charge of graduate programs, captures and delivers lessons learned about effective recruiting and retention strategies