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Field
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with NERSC staff, domain scientists, and partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific
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templates for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q
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the economic benefits for individuals and communities when interacting with the energy markets. AUTONOMY will pioneer a novel transfer learning approach to exchange expert knowledge amongst energy manager agents
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to coordinate multiple specialized models (core LLMs, retrieval models, pedagogical agents, UX evaluators) in a distributed architecture. Decomposition and Chaining of Pedagogical Tasks:Design computational
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partners at NVIDIA and Dell to prepare high-impact workflows for 12,000+ NERSC users. What You Will Do: Contribute to one or more NESAP AI-based scientific workflows targeting NERSC HPC resources, edge
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enrolled in a Master’s program and undertaking their Master’s dissertation within the scope of the Blockchain.pt project, specifically related to the Field Lab: Agent-Based Model: How can the behaviors and
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
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for distributed AI training, agentic AI with modeling and simulation, and end-to-end workflow monitoring, profiling, and optimization. Working with quantum simulation tools, including NVIDIA CUDA-Q, to enable
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. • Familiarity with agent-based and compartmental models for infectious diseases. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience. Applicants
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, energy systems optimisation, techno-economic forecasting, or agent-based modelling proficiency in scientific programming (preferably Julia, Python, or MATLAB) competence in data analysis and probabilistic