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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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materials within the uranium fuel cycle. Research topic areas will be related to understanding the effects of material processing on chemical and physical observables and translating this understanding
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for Computational Sciences. They will collaborate with leading computer and computational scientists at ORNL and external collaborators in the development and application of new computational techniques specifically
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-on experience in catalytic reactor design and performing experiments with data reduction are needed. Experience in handling different types of hydrogen isotopic samples and irradiated samples are also desirable
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mechanical testing to uncover processing–microstructure–property relationships. The candidate will have opportunities to interact with multidisciplinary teams and contribute to high-impact publications and
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and functionalized sorbents for the selective extraction and recovery of gallium (Ga), germanium (Ge), and other critical minerals from complex zinc-processing feedstocks. The successful candidate will
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disturbance at scale. A cohort of postdoctoral researchers will be hired across multiple institutions to collaboratively support scientific advances guided by AI/ML, remote sensing, process-based modeling
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and deliverables Regularly report to research staff and project sponsors on the status of projects Ensure compliance with environment, safety, health and quality program requirements Maintain strong
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Requisition Id 16936 Overview: We are seeking a postdoctoral research associate who will focus on membrane and sorbent materials and processes for advanced separations and purification applications
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, and processing of materials under high temperature pyrolysis. The candidate will aid staff in conducting high quality research by developing, integrating, and deploying materials to be used