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. Design, develop, test, benchmark, deploy, and tune agentic AI software frameworks and multi-fidelity optimization algorithms to close the feedback loop for automated scientific discovery. Deploy, optimize
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for Advanced Mathematics for Energy Research Applications (CAMERA) has a new opening for a postdoctoral scholar to develop cutting-edge mathematics and algorithms to analyze complex data from Department
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integration (e.g., TCP/IP, serial interfaces, fieldbus, or other device communication standards). Knowledge of data acquisition systems, instrumentation, and sensor integration used in experimental and
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. Utilize machine-learning and data-mining approaches to recommend bioengineering interventions. Develop new machine-learning algorithms. Integrate machine learning techniques with mechanistic modeling
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to architectures, algorithms, and applications. Titled "Exploring Atomic Ensemble Qubits for Distributed Quantum Computing," this LBNL-funded initiative brings together experts from the ESnet, NERSC, and AMCR
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(CAMERA) has a new opening for a postdoctoral scholar to develop cutting-edge mathematics and algorithms to analyze complex data from Department of Energy (DOE) experimental facilities. This role involves
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. Understanding of object-oriented programming, data structures, algorithms, and software design practices. Development experience with Matlab, Python and C/C++ programming languages. ML/LLM models knowledge and