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learning and deep learning techniques to the biological sciences. The ideal candidate will have expertise in artificial intelligence, with a specific focus on deep learning applications in structural biology
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software components; Publish research results in high-quality international journals and conferences; Collaborate with researchers, a PhD candidate working on polyvocal knowledge representation, curators
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will engage in research that includes applied machine learning, systems building, and Internet measurements. Key Responsibilities: Contribute to driving and developing the lab's research directions and
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trustworthy digital ecosystems throughout the lifecycle of the built environment. The successful candidate will join a dynamic and interdisciplinary research environment and collaborate with faculty and
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independent research while working effectively in a collaborative environment Experience with vision-language models, large-scale representation learning, or foundation model adaptation is particularly
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graduate and undergraduate researchers, and contribute to grant writing and interdisciplinary collaborations. Applicants must hold a Ph.D. in science, engineering, or a closely related field awarded before
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interdisciplinary research environment and collaborate with faculty and researchers across NYU Abu Dhabi, the NYU Global Network, and leading international academic and industry partners. The successful candidate is
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(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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an exciting multidisciplinary research program investigating the environmental and ecological drivers of productive fishing grounds in the United Arab Emirates. Working in collaboration with Emirates