74 parallel-and-distributed-computing Postdoctoral positions at Stanford University in United States
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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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.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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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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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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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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microscopy. • 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
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associated with biological membranes, including large peripheral membrane complexes and integral membrane transporters. In parallel with mechanistic structural work, we develop targeted chemical probes
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-polysaccharide assemblies to naturally occurring and engineered polymers and industrially relevant catalytic materials. The Opportunity The successful candidate will lead an interdisciplinary research program in
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Laboratory at Stanford University is seeking a highly motivated postdoctoral scholar to join our interdisciplinary team working at the intersection of liquid biopsy, cancer genomics, and computational biology