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, containerization (Docker), Kubernetes API development and web-based analytics tools Systems, Optimization, and AI ML/AI for mobility prediction and optimization Graph algorithms, network science Spatiotemporal
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evidenced by publications, preprints, or clearly defined completed work on CV and Google Scholar ● Contributions to open-source software, reproducible pipelines, or publicly available tools (e.g
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of scientific AI. Focus Areas: Cross-Domain Interoperability: Develop common readiness templates, standardized metadata models, and APIs to enable seamless integration across diverse scientific domains
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this Google Form: https://docs.google.com/forms/d/e/1FAIpQLSe4Qc-KJ-BAlPixUnBjBZvl9OVh1oB-gRR85dhhOAdQx7teMQ/viewform?usp=publish-editor (link is external) Please note: The form will require all application
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external) ; Google Scholar (link is external) ; Companies that started from the group include TheZero Inc. (link is external) , Gridcare.ai (link is external) and EvolOH Inc (link is external) . Successful
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developing LLM-based applications using Python APIs. Experience with large scale molecular dynamics (MD) packages e.g. lammps Experience with version control (e.g., Git) and collaborative software development
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considered. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience
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, agronomy, or a related field Desired Qualifications Strong skills in satellite remote sensing, GIS, and statistical analysis. Experience using cloud-based computing resources (e.g. Google Earth Engine
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environments such as All of Us Research Program, Terra or Google Cloud Platform (GCP) Integrate multimodal datasets (EHR + genomics and other omics) Lead data cleaning, pipeline development, visualization, and
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do not send application materials to the email address above. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help you stay engaged