29 phd-position-in-computer-vision Postdoctoral positions at Oak Ridge National Laboratory in United States
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computing AI on High-Performance Computing (HPC) cluster. Examples on areas of research interest include but are not limited to: Vision transformers. AI foundation models. Computing and energy-efficient
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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. This project uses crystal growth and physical property measurements to develop, understand, and control new and emerging materials. This position resides in the Correlated Electron Materials Group in
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at the intersection of quantum information science and fundamental materials physics. The research program focuses on understanding the fundamental limits of spin-based quantum sensors as probes of magnetic and
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computations relevant to the development of strategic nuclear performance codes for nuclear reactors. This position resides in the Radiation Effects and Microstructural Analysis Group (REMAG) in the Materials in
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: To be eligible you must have completed a PhD in materials science, chemistry, physics, engineering, or a related field with in the last 5 years. Visa sponsorship is not available for this position
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automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and
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Directorate (ESTD) at ORNL is currently seeking to fill a position for a Postdoctoral Research Associate. This role entails contributing to MEERA group’s mission of disseminating knowledge on energy, carbon
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. The Plutonium-238 Supply Program at ORNL is producing plutonium-238 for NASA in support of powering deep space missions. To do so, a myriad of chemical processing steps are required to prepare targets
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this role, you will study buried interfaces in monolithic 3D heterogeneous integration (M3D HI) systems, with a particular emphasis on vertically stacked 2D/3D semiconductor heterostructures. This position