54 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
/research-integrity Basic Qualifications: A PhD in chemistry, chemical, nuclear, or environmental engineering, geochemistry or a related field completed within the last 5 years. Experience in inorganic
-
PhD in materials science and engineering, physics, chemistry, electrical engineering, or a related field completed within the last 5 years Preferred Qualifications: Background in aberration-corrected
-
opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in chemical engineering, chemistry, or a related field completed
-
fellowship on the ORNL Jobs website. Visit jobs.ornl.gov and search for “ORNL GTSI Program.” Click on the job link and complete the application as directed. Within 2 weeks following completion of your
-
in ORNL’s Center for Radiation Protection Knowledge (CRPK). The candidate will work with experts in computational radiation dosimetry and risk assessment. The candidate should be an independent thinker
-
-task efforts in molecular biology, NMR, dynamic nuclear polarization (DNP) and macromolecular crystallography, and collaboration with computational scientists developing ML and AI tools for molecular
-
degradation and lifetime assessment models for high temperature materials and coatings. As a postdoc, you will employ state-of-the-art technology, research equipment and computational resources to enable
-
jobs.ornl.gov and search for “ORNL GTSI Program.” Click on the job link and complete the application as directed. Within 2 weeks following completion of your application, please e-mail the following documents
-
techniques to control the growth environment and material consistency across the wafer targeting applications in microelectronics and quantum information science. This position resides in the Functional Hybrid
-
Qualifications: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of GPUs, multi-core CPUs, advanced computing (e.g., QPUs). Excellent