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are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. Familiarity with neural networks and/or primate electrophysiology is
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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various sets of data to prepare databases for cross-disciplinary AI research and learning. Incorporates open knowledge graph networks. Takes the lead in drafting scientific papers and technical documents
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network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering Candidates should have demonstrated publication records in cardiac and vascular engineering or
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to empower recent Ph.D. graduates to conduct world-class research, publish in top-tier journals, and build a robust scientific network. By joining us, you will receive the mentorship and support necessary
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, consolidating metadata and other various sets of data to prepare databases for cross-disciplinary AI research and learning. Incorporates open knowledge graph networks. Takes the lead in drafting scientific papers
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:32984792 [Lancet Digital Health 2020]), and network medicine (PMIDs:35572351 [Nature Aging 2021], 31375661, 30002366 and 30867426 [Nature Communications 2018, 2019a and 2019b]) to address challenging
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, data science, differential equations, mathematical logic, mathematical physics, numerical analysis, neural networks, representation theory, and topology, with potential interdisciplinary applications
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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Job Description Embry-Riddle: A Global Leader in Aviation and Aerospace With vibrant campuses in Daytona Beach, FL and Prescott, AZ, plus a Worldwide network across approximately 120 locations