84 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" positions in United Arab Emirates
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Description The AMMLab, housed within the Division of Engineering at New York University Abu Dhabi, is seeking to appoint a Research Associate to contribute to the development of microfluidic-based
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Description The Center for Smart Engineering Materials (CSEM), New York University Abu Dhabi,seeks to recruit a post-doctoral associate to work on the development, characterization, and applications
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: Investigating membrane fouling mechanisms and mitigation strategies in desalination and water treatment processes. Developing and optimizing functional membranes, including electrically conductive membranes
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on accelerator developments towards the HL-LHC. Expertise in trigger development, performance and optimization and/or the ATLAS computing model is preferred. The selected candidate will work in the ATLAS
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will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and
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involved in the development of open source tools and resources, and to work on publications related to their work. CAMeL's mission is research and education in artificial intelligence, specifically focusing
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solutions. NYU Abu Dhabi advances NYU as a beacon of learning for the 21st century and plays a key role in developing a sustainable, knowledge-based economy in Abu Dhabi. The Division of Engineering at NYUAD
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web and mobile development (e.g., HTML, JavaScript, React) Experience with Internet-of-Things (IoT), especially air quality sensor networks Data analysis and visualization skills (Python, R, Google
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for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity
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the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al., 2019; Pedersini et al., 2023). We