52 computational-physics-simulation-"Prof"-"Prof" Postdoctoral positions at Oak Ridge National Laboratory
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will support the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing
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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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(CSD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL). This position is focused on the advancement of high-precision mass spectrometry and innovative chemical methods
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learning based manufacturing process development and optimization. This position resides in the Materials Joining Group in the Materials Structures and Processing Section, Materials Science and Technology
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Qualifications: A PhD in condensed matter physics, material science, computational science, or a related field. Preferred Qualifications: Basic understanding of x-ray or neutron scattering is desirable but not
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program Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a
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instrumentation and apply these in advancing nGI for material science research through novel instrumentation and computational methods. Then you will be applying nGI in addressing critical scientific questions in
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, and measure success. Basic Qualifications: A PhD in computational or theoretical physics, chemistry, materials science, or other closely related field completed within the last 5 years. Experience with
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challenges facing the nation. We are seeking a Postdoctoral Research Associate who will focus on the physics of correlated and topological quantum materials. This position resides in the Quantum
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data production at next-generation computational facilities enables scientific knowledge discovery but presents a challenge to move, store, and process the data. To maximize their science return