40 combustion-modelling-postdoc Postdoctoral positions at Oak Ridge National Laboratory
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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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modeling. Selection will be based on qualifications, relevant experience, skills, and education. The successful candidate should be highly self-motivated and independent in conducting research under general
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on the development and application of machine learning algorithms in areas such as surrogate modeling for physical systems, data assimilation, and scientific data reduction. The position comes with a travel allowance
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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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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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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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. 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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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
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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
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diffraction data as it is streamed from SNS and HFIR instruments. You will also work in collaboration with other project members to integrates AI models into Bluesky-based instrument control. Your work will