20 electrical-research-assistant Postdoctoral positions at Oak Ridge National Laboratory
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, solid-state materials processing, mechanical testing, mechanical behavior of alloys, and in electrical/thermal properties of alloys. An excellent record of productive and creative research as proven by
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Requisition Id 16722 Overview: We are seeking a Postdoctoral Research Associate within the Advanced Machining and Machine Tool Research Group who will focus on developing, evaluating, and
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Requisition Id 16867 Overview: We are seeking a Postdoctoral Research Associate in Robotics and Navigation who will focus on developing an autonomous underground exploration and mapping robotic
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. Background in mechanical properties of alloys. Background in electrical/thermal properties of alloys. An excellent record of productive and creative research as proven by publications in peer-reviewed journals
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also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility. The OLCF has the charge to develop and apply transformational computational science
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Requisition Id 16779 Overview: We are accepting applications for Postdoctoral Research Associate positions in Data Science for Advanced Manufacturing that will focus on the development of next
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supports the energy reliability and prosperity mission of the Energy Department (DOE) through transformative science and technology solutions, including research supporting the Office of Electricity (OE
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Requisition Id 16602 Overview: We are seeking a Postdoctoral Researcher who will focus on conducting, coordinating, and reporting complex research assignments related to advanced thermal and energy
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of gallium, graphite and rare earth elements from brine and minerals. Conduct research in benchmarking newly developed critical material separation processes relative to the current state of the art. Research
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responses to current or imposed environmental conditions. Research may leverage: Laboratory, growth chamber and field experimental data, and/or new measurements to quantify molecular to ecosystem scale