6 molecular-modeling-or-molecular-dynamic-simulation Fellowship positions at Lawrence Berkeley National Laboratory
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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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-design validation experiments with experimentalists; iterate models using feedback from new measurements. Automate the workflow: Build Python workflows for simulation and data processing, including HPC job
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scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer-reviewed venues. Examples of NESAP project themes
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of neural population dynamics. This position has the specific focus of developing ML methods to assess the feedback controllability of neural population dynamics recorded from brain organoids. This position
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test novel superconducting device components compatible with extensible quantum processors Analytical and numerical modelling of microwave quantum circuits and signals Design and conduct state-of-the-art
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simulations on superconducting processors for physics, chemistry, and computer science. Firmware development & programming tools to interface with FPGA-based electronics. Quantum verification and validation