34 combustion-modelling-postdoc Postdoctoral positions at Oak Ridge National Laboratory
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characterizations, and models that are suitable for nuclear fuel performance codes. Knowledge and experience of x-ray computed tomography, mechanical testing, and finite element modelling is desirable. Major Duties
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photo-bases. The work will focus on modeling of adiabatic and nonadiabatic photochemical processes to capture excited states dynamics using an array of ab initio molecular dynamics methods for excited
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maturation, characterizing performance and properties of nuclear fuels and materials, and generate the data to advance physical modeling and simulation. The primary function of this open position is to perform
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) efforts within the Center for Nanophase Materials Sciences (CNMS) through hardware developments. As a postdoc, you will be expected to design and build custom hardware solutions focused on integrating
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, analyzing data from complementary techniques such as scanning microwave impedance microscopy, Kelvin probe force microscopy, and cathodoluminescence, as well as collaborating with theorists for data-model
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of combustion engine emissions; methane oxidation catalysts (MOCs); sulfur and NOx traps for fuel cell air purification; catalytic fuel reforming; catalysts for carbon dioxide capture and purification; catalysts
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. Construct machine-learning models for feature-based molecular property prediction and drive the inverse design of ligands with engineered properties. Develop machine-learned interatomic potentials trained
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techniques (such as, large language models) in the neutron powder diffraction data life cycle. This work will be conducted collaboratively with other scientists within the Neutron Scattering Division and
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to accomplish multiple tasks within deadlines, and adapt to ever changing need Special Requirements: Postdocs: Applicants cannot have received their Ph.D. more than five years prior to the date of application and
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computational modeling of electrons and magnetic properties from density functional theory methods. Preferred Qualifications: An excellent record of productive and creative research demonstrated by publications