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focused on instructional design and AI in education Stay current with emerging technologies and evaluate their relevance for teaching and learning About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi
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. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine
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Description The eBRAIN Lab (https://ebrain4everyone.com ) in the Division of Engineering at New York University Abu Dhabi invites applications for a Post-Doctoral Associate position, to work in the
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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or quantitative methods. We are open to a range of methodological backgrounds, including digital trace data analysis, natural language processing, machine learning, experimental design, causal inference, and
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learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on various projects on robotics and computer vision, controls, and machine learning and their security
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prioritize candidates who specialize in Artificial Intelligence (AI) and Machine Learning (ML), including but not limited to areas such as deep learning, natural language processing, computer vision
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-doctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
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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Science, Mathematics, Physics, Bioinformatics, or a related quantitative field Strong background and expertise in data science, bioinformatics, network science, artificial intelligence, machine learning, deep learning