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design; The FPGA gateware design and verification for qubit control signal processing on different FPGA chips; The low-level software driver and API development. Demonstrated programming experience in
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, MLSys/SC/HPDC). Hands-on with distributed training/inference (FSDP, DeepSpeed, Megatron-LM), accelerator programming, and large-scale data pipelines. Experience building agents that use tools/APIs (e.g
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reference contact information uploaded as Specific Request 1. Skills / Knowledge / Abilities Stochastic processes and/or information theory; Python, C++, TensorFlow, Scikit-learn, Linux command line; Google
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custom tools and end effectors for robotic assemblyGood knowledge of the CAD software Rhinoceros 3D, its plugin Grasshopper 3D, and its API RhinoCommonReal-world architecture and/or construction
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of publications as primary author * Number of publications as secondary author * Total number of publications o Total citation counts from all publications * A link to Google Scholar profile (or equivalent online
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App Store or Google Play Store to help you stay engaged, connected, and informed during your ORISE experience and beyond! Qualifications The DOE Scholars Program is open to all students and recent
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, modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack
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Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster. Demonstrated record of publishing
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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 and beyond
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Basic proficiency related to geospatial analysis (e.g., ArcGIS, QGIS, Google Earth Engine). Strong oral and written communication skills. Experience working with and managing interdisciplinary research