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developed the SPARCED pipeline to convert structured lists of species, parameters, and reaction types into an SBML (Systems Biology Markup Language) model file, and we created a model based on one
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Questions about this opportunity? Please email npp@orau.org Qualifications
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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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/Essential Personnel Yes EEO Category 1-Officials and Administrators Full Time or Part Time Full Time Does this position have telework options? -Telework options are subject to change based on business needs
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treatments. Robust preclinical models are essential for this purpose; however, the advancement of 3D in vitro sarcoma models has lagged behind that of epithelial cancers. Your job This delay is largely
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Language Models (LLMs). MIDS is a two-year degree program offering a substantive educational experience, not simply a data science credential. The MIDS curriculum is designed to support students from
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at Cornell University is seeking a Postdoctoral Associate to advance research on maize and grass molecular diversity using genomic large language models (AI). The goal is to design nitrogen-efficient maize
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:00am – 5:00pm. This position is grant funded and funding is expected to terminate 10/31/2027. Salary Salary is commensurate based on qualifications and relevant experience up to $70,000 Pay Basis Monthly
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., biological tissues, animal models, or laser-based imaging systems), requiring adherence to extensive safety protocols and use of personal protective equipment (PPE). See the Position Description for additional
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inference Develop distributed model training and inference architectures leveraging GPU-based compute resources Implement server-less and containerized solutions using Docker, Kubernetes, and cloud-native