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that the candidate has prior research experience in one or more of the following research topics: Free space optical communication Visible light communication DSP for coherent optical communication Machine learning
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for a tenure-track position in the Control systems and intelligent decision-making within the Electrical Engineering (EE) program. Emphasis will be given in: a) Machine and Reinforcement Learning
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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Free probability theory High-dimensional probability, concentration and functional inequalities Mathematical aspects of machine learning and deep neural networks Free Probability aspects of Quantum
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. Pierre Youssef on subjects including (in no particular order): Concentration and functional inequalities. Mixing times of Markov chains. Mathematical aspects of machine learning (automated proofs, deep
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Description The Division of Engineering at New York University Abu Dhabi seeks to recruit a motivated post-doctoral associate with a strong background in control systems and machine learning to join
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Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML
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language processing; or computational linguistics/language technologies degrees; (b) strong programming skills and machine learning experience; and (c) a research publication record appropriate for the hiring rank
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as instructor with the rank open, depending on experience. Instructors support NYU Abu Dhabi's educational mission by assisting faculty with courses in Computer Engineering. These courses include among
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machines. Experiments are conducted at SSEL’s state-of-the-art facilities on campus, online, via surveys, and third-party contractors. The ideal candidate is someone who is deeply committed to research