68 machine-learning-"https:"-"https:"-"https:"-"https:" positions in United Arab Emirates
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at the Stern School of Business at NYU Abu Dhabi (Stern at NYUAD). We seek scholars/practitioners of the highest caliber equipped to teach courses at the intersections of corporate sustainability and business
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related field. Demonstrated Expertise in one or more of the following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging
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natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal
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experience supervising student research Technical Proficiency with: Deployment of machine learning and deep learning models Modern JavaScript/TypeScript ecosystems (React, Node.js, React Native) Python web
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or
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candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art