2,017 parallel-and-distributed-computing "CERN" Postdoctoral positions in United States
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implementation science, and leveraging computational innovation, the lab examines these relationships across exposures, tissue types, life stages, and populations to identify opportunities for prevention and early
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will include examining fiber properties such as crystallinity, pore size distribution, fiber surface content, and metal ion composition, as well as conducting laboratory-scale dye uptake trials with
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May 19, 2026 Deadline May 19, 2027 at 11:59 PM Eastern Time Description The Reilly Lab seeks a highly motivated Postdoctoral Associate to join an interdisciplinary research program focused
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum
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transition-metal complexes. The project will involve the reaction development, mechanistic studies, and synthetic applications. The postdoctoral associate will perform parallel reaction condition screening
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Familiarity with brain imaging analysis acquisition Knowledge of multivariate statistics and/or digital signal processing Proficiency in Python. Parallel computing processing experience is highly appreciated
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have access to raw eBird data (> 2 billion observations) and the ability to engage with the eBird Status and Trends modeling team. We will also provide access to high-performance computing resources and
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knowledge in parallel/GPU computing. Job Duties Job Duty Doing research problems in the area of mathematical foundations of data science and machine learning. The postdoc will assist with ongoing research
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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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