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and reliability of scientific discovery. It also offers exciting prospects for direct collaboration with domain experts—such as those in neutron scattering and urban science—to apply and evaluate
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domain experts—such as those in neutron scattering and urban science—to apply and evaluate research methods on large, domain-specific scientific datasets. Major Duties/Responsibilities: Designing and
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purification of electrode or electrolyte systems and evaluation of their battery performance. The program will have a strong collaborative component with characterization (e.g. electron microscopy
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characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems. Design and evaluation of approaches for time-sensitive or data-intensive processing of data originating
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single node between multiple secure workloads. Investigate and evaluate mechanisms for secure encrypted communication across RDMA based networks. Design and evaluate key distribution and management
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evaluate applications based on candidate excellence and relevance of the proposed research topic. ● Proposed Seaborg Researcher research project ○ Creativity and innovation ○ Impact on program’s mission
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materials for eventual incorporation into materials qualification processes and nuclear energy system performance models. Major Duties/Responsibilities: Perform experimental research to evaluate the effects
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applications. You’ll help design, train, and evaluate AI systems that plan, reason, and take actions to accelerate scientific discovery across domains (materials, chemistry, climate, fusion, biology, and more
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. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Design system-level approaches for time-sensitive or data-intensive processing of data originating
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neuromorphic platforms. FPGA / Hardware-Embedded AI: Deployment of SNNs to FPGA-based neuromorphic hardware (e.g., NeuroSpike/NeuroSpark). RTL generation using HLS workflows and evaluation of resource usage