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and qualitatively. They must also have experience developing and adapting qualitative coding schemes based on dialogue and behaviors (from video, audio, eye movements, and log file data), as
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artificial intelligence for geoscience. Your role will be flexible and largely self-determined. Essential responsibilities may include developing, testing, and deploying code for large-scale model training and
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ICAR - OxyMoRon: Understanding dioxygen production and consumption in apparently anoxic environments
Organization National Aeronautics and Space Administration (NASA) Reference Code 0042-NPP-MAR26-ABProg-Astrobio How to Apply All applications must be submitted in Zintellect Please visit the NASA
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to automate model training, testing, validation, deployment, and automated retraining workflows. Infrastructure as Code (IaC): Design and enforce IaC standards (Terraform/CloudFormation) for provisioning and
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pipelines using CI/CD practices to automate model training, testing, validation, deployment, and automated retraining workflows. Infrastructure as Code (IaC): Design and enforce IaC standards (Terraform
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coding and sufficient documentation; reconciles expense and other financial reports. • Receives and verifies invoices to purchase orders and approves for payment processing. • Facilitates payment
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the electromotive variations in heart muscle actions; assist in the coding, filing and distribution of EKG data. Perform as a member of the cardiac arrest team, obtaining ECG record of events; assist emergency
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scheduling requests. Recognizes emergency situations and initiates correct code procedures. Supports the overall function of the department, and may be required to take on additional duties such as cross
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Woods Hole Oceanographic Institution | Woods Hole, Massachusetts | United States | about 1 month ago
and robustness across varying noise conditions. Familiarity with PAM workflows and tools and/or marine bioacoustics is required. Strong Python skills, ability to document code and workflows, and
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. The role involves the design, implementation, and testing of GPU compute kernels, and associated host code, for the CHR real-time pipeline. Particular challenges include high-throughput beamforming via a