14 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "Adelphi University" positions in United Arab Emirates
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Description NYU Abu Dhabi (NYUAD) invites NYU faculty based in New York and Shanghai to express interest in offering courses to teach at NYUAD as part of the Faculty Exchange Program, aligning with
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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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, writing, and professional development. The workshop is also an opportunity to meet, learn from, and develop relationships with colleagues in the field. Applications are encouraged for projects that range
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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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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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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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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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-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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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
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. Responsibilities of the position include using advanced statistical and Machine Learning techniques to study AGN properties, galaxy properties, and the relationships between them in large samples of galaxies, as