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efforts across scientific systems. Develop and apply federated learning on distributed and heterogenous datasets. Develop more efficient and resilient DP techniques that minimize performance loss while
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Requisition Id 16765 Overview: The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of HPC
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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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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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to join an NIH-funded research program investigating the cortical cellular and circuit mechanisms underlying hearing difficulties in noisy environments following noise-induced hearing loss. Our research
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Location ST. LOUIS, MO 63110 Position Summary The Postdoctoral Researcher will support a multidisciplinary research program focused on understanding the genomic and molecular mechanisms underlying
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related field. Research experience with shotgun sequencing data, including most of the following: working with public databases, assembly, annotation, binning, SNV profiling, and distributed computing
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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research team to generate, validate, and distribute preclinical mouse models tailored to accelerate validation and therapeutic R&D for emerging gene/protein targets relevant to Parkinson’s disease (PD
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simulation tasks. Develop and maintain HPC-ready software workflows for distributed training, large-scale inference, scalable data ingestion, and data management on leadership-class computing systems and