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Description We have an opening for a Postdoctoral Researcher to conduct computational research in the area of mesoscopic modeling of interface thermodynamics and kinetics, as well as associated microstructure
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overall objective of developing robust and deployable physics-driven machine learning solutions for TEM data. In addition to the colleagues at Department of Electrical and Computer Engineering, you
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Demonstrated expertise in developing advanced AI/ML models for applications in physics, chemistry, or materials science Experience with periodic simulation codes such as VASP Proficiency in Python
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Postdoctoral Fellow - Hydrologic Modeling - 530910 Tuscaloosa, Alabama, United States Engineering/Computer Science Research/Scientific Closing at: Oct 23 2026 - 22:55 CDT Pay Grade/Pay Range
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experience working in HPC environment. Programming experience in Fortran, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
, Skills & Abilities: Advanced knowledge of physical oceanography, numerical methods, or closely related principles relevant to acoustic propagation modeling. Proficiency in scientific programming and
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, Skills & Abilities: Advanced knowledge of physical oceanography, numerical methods, or closely related principles relevant to acoustic propagation modeling. Proficiency in scientific programming and
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, metabolomics, lipidomics, and other omics data to contextualize metabolic models and investigate complex biological questions. Interpret modeling and multi-omics results to identify biological
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 17 hours ago
development for bioequivalence evaluation, active ingredient sameness demonstration, and post marketing safety surveillance. This Division coordinates modeling, simulation, data analysis and data mining, and
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Requisition Id 16569 Overview: The Grid Transients & Advanced Modeling Group in the Electrification and Energy Infrastructure Division (EEID) within the Energy Science and Technology Directorate