11 algorithm-development-"Prof"-"Washington-University-in-St" positions in United Arab Emirates
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Description Prof. Yi Fang at the Center for Interacting Urban Networks, New York University Abu Dhabi, seeks to recruit a research assistant to support a project studying AI-powered smart assistive
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learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems
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effects in economic decision-making, and other topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis
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have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software for Quantum Machines.The appointment will be for a period of two years, and extensions to longer
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
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motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
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control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance the safety and robustness of human-robot interaction. The successful applicant will engage
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Description The Division of Engineering at New York University Abu Dhabi is inviting applications for a Research Associate position in the Traffic Flow Dynamics and Computations group, which Prof
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development (R&D) of advanced machine learning (ML) models like Transformers, Vision Transformers, Large Language Models (LLMs) and other advanced deep learning models for vision-based applications. The focus