67 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
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Description The Center for Technology and Economic Development (CTED) at New York University Abu Dhabi (NYUAD) seeks to recruit a Research Assistant (Blockchain Project) for a one-year period. The
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Description The Center for Technology and Economic Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Research Assistant for a one
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Description The Center for Technology and Economic Development (CTED) at New York University Abu Dhabi (NYUAD) seeks to recruit a Research Assistant for a one-year period. The anticipated
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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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. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running
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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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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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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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, 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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‑term — 12 months). LAMINATE is developing a longitudinal, AI‑driven MRI‑lesion and atrophy segmentation platform for multiple sclerosis (MS). Under the supervision of Dr Osama Abdullah, the successful