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named Penn one of America’s Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access
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. Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing. Commitment to quality, integrity, confidentiality and compliance. Excellent
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Science at Fred Hutch Recent advancements in statistics, computational techniques, and experimental technologies are transforming how we generate and analyze data. This big data has big potential
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Experience * Proficiency in analyzing functional magnetic resonance imaging data. * Demonstrated skill in manuscript preparation, managing large datasets, multivariate analytical approaches, and/or
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 13 days ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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Arctica screening microscope with Falcon 4i detector and a 300 kV Krios microscope with K3 detector and an energy filter. We additionally have access to a large range of outstanding facilities
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models (LLM) and other key agentic tools
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: To conduct independent research in large
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seeking a Computational Research Assistant to support a research project focused on evaluating how clinicians interpret continuous glucose monitoring (CGM) data and how these interpretations compare