2 bayesian positions at Texas A&m Engineering

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  • Texas A&m Engineering | College Station, Texas | United States | about 20 hours ago

    testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software

  • Texas A&m Engineering | College Station, Texas | United States | 9 days ago

    workflow driven by a Bayesian optimization engine — translating algorithmic experimental directives into machine actions and returning structured results to the decision-making system. Responsibilities

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