89 parallel-and-distributed-computing "Computer Vision Center" positions at Stanford University
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, Speech & Hearing Sciences, or a related field. Substantial experience with at least one of the following: speech and audio processing, computer vision, eye tracking, or related computational methods
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.2023.01.012(link is external) Drug Discovery: New Therapeutic Mechanisms In parallel, we use structural biology as a foundation for discovering new therapeutic mechanisms. Our work focuses on using chemically
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currently because novel therapies replacing orexin are being developed by the pharmacological industry; prospects for a career in academic or industry are high. In parallel with this effort, we are also
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distribution. Both projects will develop the Fontan emulator to be patient-specific, MRI compatible, computer controlled, and quantitatively evaluated using advanced bench-top, CFD/FSI simulation, and MRI-based
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scientific domains. Preferred Experience: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling
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introduced by our group while developing new ones, and we couple this work with innovative strategies to define the molecular basis for their modes of action in bacterial cells. In parallel, we investigate how
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of reaction pathways, residence-time distributions, heat and mass transfer, and particle or catalyst evolution. Establish quantitative mass, carbon, and energy balances across the reactor system. Relate reactor
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scholar to contribute to our research program focused on clinically applied machine learning, foundation models and multi-center observational studies. The successful candidate will work closely with
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program focused on pediatric type 1 diabetes, health disparities, and improving access to high-quality diabetes care and technology. Our research examines the factors at the patient, family, provider, and
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. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience with databases and scientific applications, and ability to quickly learn and master various computer