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conditions; own POAM resolution and control documentation. · Infrastructure Automation Expertise Deliver scalable, consistent infrastructure through Infrastructure-as-Code and automated remediation pipelines
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, Uncertainty quantification, Approximation Theory, Applied Probability and Bayesian statistics, Optimal Control and Dynamic Programming. Appointment, salary, and benefits. The appointment period is two years
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manufacturing. The candidate should have expertise in dynamic process modeling, control theory, and optimization of chemical and energy systems. The candidate should have expertise in simulation, prediction, and
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. Contribute to writing methods sections and developing reproducible analysis scripts. 3. Technical Infrastructure Manage code repositories and collaborative workflows using GitHub/GitLab. Maintain documentation
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https