31 modelling-complexity-geocomputation Postdoctoral positions at Oak Ridge National Laboratory
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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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Requisition Id 14808 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development of modeling framework and support process development for advanced
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/Responsibilities: Collect and analyze data from past weather-related natural gas supply disruptions and study their impacts. Perform modeling and simulations to assess system performance under cold stress conditions
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related field completed within the last 5 years. Research background in S/TEM or SPM. Strong proficiency in mechanical design and computer aided design (CAD) and 3D modeling. Preferred Qualifications
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. Sensing, Machine vision, image processing and data fusion. Inline manufacturing process monitoring and control. Major Duties/Responsibilities: Develop foundation AI models under various projects. Develop
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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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, and BET Experience synthesizing catalysts Familiarity with LabVIEW software for control and data acquisition Familiarity with catalyst modeling Excellent written and oral communication skills Ability
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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
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macromoleculartechniques and analysis is required. Experience in protein expression and purification in prokaryotic systems. Experience in crystallization, structure determination and analysis of protein-ligand complexes
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or novel applications of machine learning. Expertise in deep learning techniques such as transformers, LLM, GNN, generative models OR advance matrix method such as matrix/tensor completion, non-negative