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(HPC) environments and large-scale data management. Experience with version control (e.g., Git) and collaborative software development practices. Experience with real-time analysis and instrument control
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experiment tasks, implementing the infrastructure that handles message exchange and tool calls, and devising tools that control beamline instruments and launch simulations/analyses. You will help integrate
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the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific
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on developing a new hybrid light–matter platform that couples transition metal complexes with optical microcavities to achieve optical control over ultrafast spin conversion and charge transfer
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considerable amount of experimental laboratory work with a variety of electrochemical based methods (galvanostatic/potentiostatic, AC impedance, and hybrid potential/current control methods) coupled
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harness the nonequilibrium correlation between structural, charge, and spin/pseudospin degrees of freedom in two-dimensional (2D) materials. The success of this program will lead to new means to control
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modulators as well as cryogenic systems Experience designing and building experimental control and data acquisition systems Ability to model Argonne's core values of impact, safety, respect, integrity and
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extraction and analysis of sequencing-based omics data. Experience in bioreactor configuration, inline/online sensor integration, and PID-based process control; familiarity with bioreactor automation systems
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technologies, control algorithms and powertrain architectures with focus on advanced technologies. The candidate will assist on projects to benchmark next generation vehicle systems, identify opportunities
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(HPC): Experience with parallel computing (MPI, OpenMP, CUDA/HIP) or running workflows on supercomputing clusters. Software Engineering: Knowledge of version control (Git), containerization (Docker