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or otherwise collaborate on the design, execution, and analysis of: A bibliometric study of impact statements on successful grants funded by NWO, led by project co-lead Thed van Leeuwen, in order to
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drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates Nature–WWF and government partners, the successful candidate will lead the spatial ecology, habitat
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of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in
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for representing, compressing, and computing with complex physical systems. The project is carried out in close collaboration with researchers in Electrical Engineering working on emerging memory architectures and
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SolidWorks experience considered an advantage. Publish research findings in high-quality peer-reviewed journals. Work collaboratively with faculty, postdoctoral researchers, students, and other members of a
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quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains
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://sandrasiby.github.io/ . The lab website can be found at https://sites.google.com/nyu.edu/haven-lab The successful candidate will engage in research that includes applied machine learning, systems building, and Internet
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on the recognition of academic degrees obtained abroad (learn more about the procedure for the recognition of academic degrees: https://nawa.gov.pl/en/recognition/recognition-for-professional-purposes/recognition
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of AI for next-generation microbiome research? We are looking for a highly motivated researcher to develop novel machine learning and computer vision methods for autonomous live-cell microscopy