55 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIVERSITY-OF-SOUTHAMPTON" positions at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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, development, and characterization of innovative and multifunctional construction materials, including self-sensing and self-healing systems, with applications in infrastructure, oil and gas, and energy
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Postdoctoral 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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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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Description The Division of Engineering at NYU Abu Dhabi is searching for rising scholars to educate the next generation of global leaders. You are invited to apply for an academic support position
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student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s
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, projects involve the design and synthesis of DNA libraries containing multiple variants of synthetic gene constructs, which are then tested using the model organism E. coli. Candidates are also welcome
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for urban networks, bridge the gap between scientific significance and practical value, and further develop the human capital to propel the city of Abu Dhabi and the UAE into a more prosperous and sustainable
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, and the application of specialty coatings to impart corrosion resistance. Additionally, the candidate will develop polymeric lubricious coatings for catheters to minimize injury to blood vessels during
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, projects involve the design and synthesis of DNA libraries containing multiple variants of synthetic gene constructs, which are then tested using the model organism E. coli. Candidates are also welcome