About AQR Capital Management AQR is a global investment firm built at the intersection of financial theory and practical application. We strive to deliver concrete, long-term results by looking past market noise to identify and isolate
Job Title:Senior Scientist, Computational Materials Solutions Job Description: The Role Entegris is currently seeking a Senior Scientist, Computational Materials Solutions to join our Digital Innovation Team in the Technology and Innovation organization within our Materials Solutions
Location: University Libraries Open Date: Aug 27, 2025 Overview Stony Brook University Libraries invites applications for the newly created position of AI Research Scientist. The AI Research Scientist will work closely with the Director of AI
Build a future together The Manager, Applied AI is a research-facing technical role within the Advanced Informatics team responsible for designing and developing applied AI solutions across health data systems and analytical pipelines. This role works
AI Research Scientist (Library Faculty‑Tenure‑Track) Stony Brook University Libraries invites applications for a newly created position. The AI Research Scientist will work closely with the Director of AI to conduct cutting‑edge research in artificial intelligence and
Role Overview: As an Applied AI Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to building and enhancing high-visibility, full-stack products that serve the business and its users. Your
Role Overview: As a Lead Applied AI Engineer II , you will actively engage in your engineering craft, taking a hands-on approach to building and enhancing high-visibility, full-stack products that serve the business and its users.
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
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
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