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Field
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and Physics at Syracuse University invite applications to fill multiple faculty positions in the field of quantum information science, broadly defined. Faculty will be appointed in either
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on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
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electrode arrays - 20% data analysis with advanced methods such as multiple regression, fourier domain algorithms, modern statistical approaches - 5% paper preparation including writing text, making figures
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multiple technologies for custom application, or designing and building something novel. CSSI is looking to expand the team’s technical expertise to meet growing industry needs in the areas of image
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transforming society by powering autonomous vehicles, providing strategic advantages through large-scale data analytics, and enabling intelligent applications across multiple domains. However, conventional von
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. Proficient in multiple programming languages, especially Python, Java, C. Knowledge in software engineering, data structures & algorithms, computer organization/architecture, microcontroller programming
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. The research involves the development of machine learning algorithms and MR pulse sequences for next-generation computational MRI. The research will be conducted at the Electrical and Computer Engineering and
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site-specific and realistic radio propagation data through GPU-accelerated ray tracing to train AI/ML algorithms. Exploring the use of generative models for wireless channel modeling, e.g., to produce
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/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application development tasks. Direct
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create new mathematical approaches, algorithms and software to advance scientific research in multiple disciplines, often in collaboration with other Flatiron Centers. CCM has particularly strong research