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, researchers, and graduate students to translate scientific and engineering workflows into robust, scalable, and reproducible computational applications. Responsibilities include professionalization of software
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or postdoc training in Precision Agriculture, Soil Science, Computer Science, Earth Science or closely related fields Experience in writing publications/grant applications Experience in field work (soil, water
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. The Software Development Engineer I/II designs, develops, tests, deploys, and maintains software applications, platforms, and services that support advanced research, artificial intelligence, cloud computing
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to preserve data reproducibility and manage the lab's local data storage server or cloud compute clusters. Perform other duties as assigned. Salary Range : $50,050- $55,000 Qualifications Qualifications
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computational immunology as part of the NIH/NIAID-funded Multiscale Immune System Modeling (MISM) Center. The postdoctoral associate will contribute to and participate in meetings, workshops, trainings
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experiments, and connect them into live experimental campaigns so that AI checks every candidate before it reaches the robot deployed on the Genesis American Science Cloud with the Materials Project as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
. Preferred Qualifications, Competencies, and Experience Experience with version control systems such as GitHub, cloud- or cluster-based computing, systems management, statistical programming or mechanistic
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implementation of large-scale projects supporting AI innovation, federated data ecosystems, privacy-enhancing technologies, cloud-native platforms, and scientific computing environments. Working with faculty
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, the American Science Cloud, and the Oak Ridge Leadership Computing Facility (OLCF). Working within the Workflows and Ecosystem Services (WES) Group at the National Center for Computational Sciences (NCCS), you
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agents to improve based on experimental feedback. You'll translate wet-lab and computational endpoints into a trainable signal to build models that plan and act against them. Responsibilities: Research