37 programming-"Multiple"-"Prof"-"Embry-Riddle-Aeronautical-University" Postdoctoral positions at Oak Ridge National Laboratory
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other characterization methods, as well as across multiple CNMS groups and divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using combined photonics/scanning probe microscopy
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. Experience with programming languages such as Python, R, or MATLAB and experience with relevant tools and frameworks for data analysis and machine learning. Experience with database technologies, particularly
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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for isotopic analysis and assays, supporting critical safeguards, nonproliferation, and nuclear programs. The Postdoctoral Research Associate will play a vital role in developing methodologies for nuclear
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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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. Collaborate extensively with researchers across the CNMS to identify new opportunities to improve capabilities and compatibility between multiple experimental platforms and workflows. Contribute to the timely
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in collaborative teams across the laboratory Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing
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collaborate with other scientists for synthesis, theoretical calculations, and other characterization methods, across multiple divisions at ORNL. Major Duties/Responsibilities: Conduct materials research using
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dynamics simulations to investigate photoinduced processes and connect them to timescales obtained from nonlinear electronic spectroscopic measurements Plan and conduct simulations and work with
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binding and selectivity manifested in improved separations using the leadership class high performance computing facilities available at ORNL and other DOE facilities. Plan and conduct simulations and work