31 algorithm-development-"Multiple"-"Prof"-"UNIS" Postdoctoral research jobs at NEW YORK UNIVERSITY ABU DHABI
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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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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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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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to work on the development of responsive membranes with in situ switchable properties, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor
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computing where the focus will be to work on to the current efforts on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing
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critical that we fully understand the underlying cause(s). This project aims to identify biomarkers in the eye and brain that explain vision loss, building on our previously-developed method linking clinical
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related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery
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Description The Water Research Center at New York University Abu Dhabi seeks to recruit a Post-Doctoral Associate to develop calix[n]arene-based covalent organic frameworks for water purification
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. The project activities will involve the development of the theory and implementation of the advanced mechanics and numerical models as well as constitutive model calibration and validation based on physical