The next part of your journey is right around the corner — with The Standard. A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a
Department Overview The LCME Coordinator will support accreditation activities for the School of Medicine¿s Undergraduate Medical Education (UME) program, ensuring alignment with the mission, goals, and strategic priorities of medical education. This includes leading and coordinating
Department: University Advancement Classification: Research Analyst 2 Appointment Type and Duration: Regular, Ongoing Salary: $22.84 - $34.70 per hour FTE: 1.0 Hybrid eligible - located in Eugene or Portland, Oregon Review of Applications Begins August 31,
We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them
Current employees: Please apply through the employee portal to be considered for this opportunity. Pay Range:$54.08 - $66.51 Hourly Department:Health Department Job Type:Regular Represented Exemption Status:United States of America (Non-Exempt) Closing Date (Open Until Filled if
Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create
Department Overview The Knight Cancer Institute, known as one of the pioneers in personalized cancer medicine, is an international leader in research and cancer treatment. We are comprised of biologists, chemists, biomedical engineers, computationalists, and clinicians
Department Overview The Knight Cancer Institute, known as one of the pioneers in personalized cancer medicine, is an international leader in research and cancer treatment. We are comprised of biologists, chemists, biomedical engineers, computationalists, and clinicians
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side with product managers,