31 condition-monitoring-machine-learning Postdoctoral positions at Oak Ridge National Laboratory
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the Environmental Risk and Energy Analysis Group. The candidate will work with a multi-disciplinary group of experts in economics, engineering, computer sciences, and physical sciences on the economics and policy
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computer engineering, computer science, physics, chemistry, materials science, chemical engineering, or a related field. Demonstrated ability to communicate research results in peer-reviewed publications and
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that modulate abiotic stress tolerance in Populus. The project involves integrating automated phenotyping approaches with molecular analyses to understand plant-microbe interactions under stress conditions. Major
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Requirements: Work involves various physical requirements and working conditions. As such, a pre-hire physical will be required after offer. Visa Sponsorship: Visa sponsorship is not available for this position
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Participate in project planning and execution Maintain detailed and accurate records Acquire and analyze data in keeping with project scheduling Take a position of leadership for day-to-day laboratory
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for converting carbon dioxide to fuels and value-added chemical intermediates. Major Duties/Responsibilities: Evaluate the performance and durability of catalytic materials under realistic operating conditions in
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operating conditions. Major Duties/Responsibilities: Coordinate and/or conduct laboratory high temperature oxidation experiments in controlled environments. Develop material degradation and lifetime
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Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). You will be part of a dynamic team working on multiple aspects of this problem. You will have a chance to learn about
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Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). You will be part of a dynamic team working on multiple aspects of this problem. You will have a chance to learn about
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML