81 operations-"https:"-"https:"-"https:"-"https:" "UCL;" Postdoctoral positions at Oak Ridge National Laboratory
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-performance computing, scientific modeling, and domain-informed AI to accelerate discovery across DOE mission areas such as energy, materials, biology, nuclear science, autonomous laboratories, and scientific
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National Laboratory (ORNL). The selected candidate will work collaboratively with scientists in CSD to develop an understanding of the stability of precipitated amorphous materials and their reactivity
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Model, working closely with the experimental team to understand this device’s PMI physics and optimize performance of the device in its upcoming campaigns. The position resides in the Power Exhaust and
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. To conduct this work, the successful candidate will use the world's first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric grid analytics, and
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Requisition Id 17135 Overview: We are seeking a Postdoctoral Research Associate – Modeling, Controls, and AI for Thermal Systems to advance the design, operation, and maintenance of thermal systems
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responsible for delivering high impact research on the development of novel molecules, materials, and methods for ion recognition and stimuli-responsive separations. You will work very closely with specialists
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, optimize, and test advanced materials that will accelerate the deployment of higher performance nuclear energy systems. As part of our research team, you will assess the viability of accelerated irradiation
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(CCSD), at Oak Ridge National Laboratory (ORNL). The researcher will work with an interdisciplinary team of optical scientists, quantum researchers, biologists, and computational researchers. Major Duties
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, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in physics or a related
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within