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open to candidates with a strong interest in either: i) Radio/physical-layer intelligence (e.g., channel estimation, CSI prediction, edge-deployable deep learning), or ii) Networking and control-plane
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candidates in the area of Business Analytics, with particular interest in those applying machine learning and deep learning methods to business domains, such as HR analytics, marketing analytics, and
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the Job which include, but are not limited to, Computer Vision, Deep Learning, Federated Learning, and Cloud Computing. Desirable: B1 A comprehensive and up-to-date knowledge of current issues and future
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. Work within identified processes to complete tasks efficiently and accurately. Be responsible for maintaining standard operating procedures, learning materials, task cards, and onboarding packages. What
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learning and genomics. Specifically, the candidate will work on developing and applying cutting edge deep learning frameworks for modeling massive single cell and bulk multi-omic datasets. Duties include
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investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
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working at NYU please visit our website at: http://www.nyu.edu/about/careers-at-nyu.html . NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu
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). Completed academic courses in AI or machine learning. We consider it an advantage if you bring experience with Reinforcement Learning, Deep Learning and/or Explainable AI, demonstrated for example through
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applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
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distribution. Develop and enforce procedures that align automation systems with daily logs, conduct daily/weekly checks on the video server and digital asset management system, and acquire program files from