73 affective-computing-emotion Postdoctoral positions at Oak Ridge National Laboratory
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quality program requirements Maintain strong commitment to the implementation and perpetuation of values and ethics Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core
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to additive manufacturing (AM), virtual manufacturing, material characterization, topology optimization, and real-time sensing. This position resides in the Computational Sciences and Engineering Division (CSED
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of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
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separation science and technologies for energy applications. Support research and program-development activities in advanced separation and purification, including the recovery of critical materials used in
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computational resources and will be expected to publish research, present results, and contribute to high-impact programs. With over 100 manufacturing systems at the MDF, this role offers the opportunity to work
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conferences. Supporting collective team goals, working harmoniously with colleagues, and maintaining rigorous compliance with environment, safety, health, and quality program requirements are fundamental
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publish scientific results in peer-reviewed journals in a timely manner Ensure compliance with environment, safety, health, and quality program requirements Maintain strong dedication to the implementation
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. This position resides in the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL). CSED focuses on transdisciplinary computational science and analytics at scale
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efficient techniques that maintain robust privacy guarantees while minimizing performance impact. Additionally, you will optimize the balance between privacy and utility, addressing the challenges
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous